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https://github.com/wutong8023/Awesome_Few_Shot_Learning
Advances of few-shot learning, especially for NLP applications.
https://github.com/wutong8023/Awesome_Few_Shot_Learning
List: Awesome_Few_Shot_Learning
awesome-list few-shot-learning machine-learning natural-language-processing
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Advances of few-shot learning, especially for NLP applications.
- Host: GitHub
- URL: https://github.com/wutong8023/Awesome_Few_Shot_Learning
- Owner: wutong8023
- Created: 2021-06-21T06:34:35.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2023-01-08T13:27:11.000Z (almost 2 years ago)
- Last Synced: 2024-05-23T06:13:45.447Z (7 months ago)
- Topics: awesome-list, few-shot-learning, machine-learning, natural-language-processing
- Language: TeX
- Homepage:
- Size: 953 KB
- Stars: 28
- Watchers: 6
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - Awesome_Few_Shot_Learning - Advances of few-shot learning, especially for NLP applications. (Other Lists / Monkey C Lists)
README
[![](https://img.shields.io/badge/Awesome_Continual_Learning-yellow)](https://github.com/wutong8023/Awesome_Continual_Learning.git) [![](https://img.shields.io/badge/Awesome_Few_Shot_learning-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning.git) [![](https://img.shields.io/badge/Awesome_Information_Extraction-blue)](https://github.com/wutong8023/Awesome_Information_Extraction.git) [![](https://img.shields.io/badge/Awesome_Ideas-orange)](https://github.com/wutong8023/Awesome_Ideas.git)
# Few-shot Learning Literature
This repository is maintained by [Tongtong Wu](http://wutong8023.site). Please don't hesitate to send me an email to collaborate or fix some entries (wutong8023 AT gmail.com).
The automation script of this repo is powered by [Auto-Bibfile](https://github.com/wutong8023/Auto-Bibfile.git).You can directly use our bibtex.bib in overleaf with this [link](https://www.overleaf.com/read/rgscdxhxbwhp).
This page categorizes the literature by the **Published Venue**.
## Outline
- [![](https://img.shields.io/badge/Hyperlink-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#hyperlink)
- [![](https://img.shields.io/badge/ACL-36-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#acl)
- [![](https://img.shields.io/badge/EMNLP-39-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#emnlp)
- [![](https://img.shields.io/badge/NAACL-23-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#naacl)
- [![](https://img.shields.io/badge/COLING-1-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#coling)
- [![](https://img.shields.io/badge/EACL-1-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#eacl)
- [![](https://img.shields.io/badge/ICML-42-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#icml)
- [![](https://img.shields.io/badge/ICLR-55-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#iclr)
- [![](https://img.shields.io/badge/NeurIPS-57-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#neurips)
- [![](https://img.shields.io/badge/AAAI-3-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#aaai)
- [![](https://img.shields.io/badge/IJCAI-6-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#ijcai)
- [![](https://img.shields.io/badge/SIGIR-2-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#sigir)
- [![](https://img.shields.io/badge/KDD-2-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#kdd)
- [![](https://img.shields.io/badge/CVPR-19-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#cvpr)
- [![](https://img.shields.io/badge/ICCV-3-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#iccv)
- [![](https://img.shields.io/badge/TACL-2-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#tacl)
- [![](https://img.shields.io/badge/ACM_Comput._Surv.-1-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#acm-comput.-surv.)
- [![](https://img.shields.io/badge/arXiv-28-green)](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./README.md#arxiv)
## Hyperlink
- [[Overview]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/README.md) -- [Homepage](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/README.md)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/./) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/./) -- [Summary](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/./)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/application) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/application) -- [Application](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/application)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/approach) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/approach) -- [Approach](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/approach)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/author) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/author) -- [Author](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/author)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/backbone_model) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/backbone_model) -- [Backbone Model](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/backbone_model)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/contribution) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/contribution) -- [Contribution](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/contribution)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/dataset) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/dataset) -- [Dataset](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/dataset)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/metrics) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/metrics) -- [Metrics](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/metrics)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/research_question) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/research_question) -- [Research Questions](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/research_question)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/setting) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/setting) -- [Setting](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/setting)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/supervision) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/supervision) -- [ Learning Paradigm](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/supervision)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/time) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/time) -- [Published Time](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/time)
- [[NLP]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4nlp/venue) [[CV]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4cv/venue) -- [Published Venue](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/fsl4all/venue)## ACL
- [![](https://img.shields.io/badge/ACL-2022-green)](https://aclanthology.org/2022.acl-long.254) [**Prompt-free and Efficient Few-shot Learning with Language Models**](https://aclanthology.org/2022.acl-long.254) ,
by *Karimi Mahabadi, Rabeeh and
Zettlemoyer, Luke and
Henderson, James and
Mathias, Lambert and
Saeidi, Marzieh and
Stoyanov, Veselin and
Yazdani, Majid* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L918-L932)```karimi-mahabadi-etal-2022-prompt```
- [![](https://img.shields.io/badge/ACL-2022-green)](https://aclanthology.org/2022.acl-long.439) [**CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning**](https://aclanthology.org/2022.acl-long.439) ,
by *Das, Sarkar Snigdha Sarathi and
Katiyar, Arzoo and
Passonneau, Rebecca and
Zhang, Rui* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L934-L945)```das-etal-2022-container```
- [![](https://img.shields.io/badge/ACL-2022-green)](https://aclanthology.org/2022.acl-long.43) [**Few-Shot Class-Incremental Learning for Named Entity Recognition**](https://aclanthology.org/2022.acl-long.43) ,
by *Wang, Rui and
Yu, Tong and
Zhao, Handong and
Kim, Sungchul and
Mitra, Subrata and
Zhang, Ruiyi and
Henao, Ricardo* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L947-L961)```wang-etal-2022-shot```
- [![](https://img.shields.io/badge/ACL-2022-green)](https://aclanthology.org/2022.acl-long.198) [**Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation**](https://aclanthology.org/2022.acl-long.198) ,
by *Qin, Chengwei and
Joty, Shafiq* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L963-L972)```qin-joty-2022-continual```
- [![](https://img.shields.io/badge/ACL-2022-green)](https://aclanthology.org/2022.acl-long.197) [**A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models**](https://aclanthology.org/2022.acl-long.197) ,
by *Jin, Woojeong and
Cheng, Yu and
Shen, Yelong and
Chen, Weizhu and
Ren, Xiang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L974-L986)```jin-etal-2022-good```
- [![](https://img.shields.io/badge/ACL-2022-green)](https://aclanthology.org/2022.acl-long.521) [**Memorisation versus Generalisation in Pre-trained Language Models**](https://aclanthology.org/2022.acl-long.521) ,
by *T{\"a}nzer, Michael and
Ruder, Sebastian and
Rei, Marek* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L988-L998)```tanzer-etal-2022-memorisation```
- [![](https://img.shields.io/badge/ACL-2022-green)](https://aclanthology.org/2022.acl-long.592) [**FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning**](https://aclanthology.org/2022.acl-long.592) ,
by *Zhou, Jing and
Zheng, Yanan and
Tang, Jie and
Jian, Li and
Yang, Zhilin* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1000-L1012)```zhou-etal-2022-flipda```
- [![](https://img.shields.io/badge/ACL-2022-green)](https://aclanthology.org/2022.acl-long.483) [**Prototypical Verbalizer for Prompt-based Few-shot Tuning**](https://aclanthology.org/2022.acl-long.483) ,
by *Cui, Ganqu and
Hu, Shengding and
Ding, Ning and
Huang, Longtao and
Liu, Zhiyuan* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1014-L1026)```cui-etal-2022-prototypical```
- [![](https://img.shields.io/badge/ACL-2022-green)](https://aclanthology.org/2022.acl-long.481) [**A Rationale-Centric Framework for Human-in-the-loop Machine Learning**](https://aclanthology.org/2022.acl-long.481) ,
by *Lu, Jinghui and
Yang, Linyi and
Namee, Brian and
Zhang, Yue* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1028-L1039)```lu-etal-2022-rationale```
- [![](https://img.shields.io/badge/ACL-2022-green)](https://aclanthology.org/2022.acl-long.584) [**Few-Shot Learning with Siamese Networks and Label Tuning**](https://aclanthology.org/2022.acl-long.584) ,
by *M{\"u}ller, Thomas and
P{\'e}rez-Torr{\'o}, Guillermo and
Franco-Salvador, Marc* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1041-L1051)```muller-etal-2022-shot```
- [![](https://img.shields.io/badge/ACL-2022-green)](https://aclanthology.org/2022.acl-long.576) [**PPT: Pre-trained Prompt Tuning for Few-shot Learning**](https://aclanthology.org/2022.acl-long.576) ,
by *Gu, Yuxian and
Han, Xu and
Liu, Zhiyuan and
Huang, Minlie* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1053-L1064)```gu-etal-2022-ppt```
- [![](https://img.shields.io/badge/ACL-2022-green)](https://aclanthology.org/2022.acl-short.36) [**Exploiting Language Model Prompts Using Similarity Measures: A Case Study on the Word-in-Context Task**](https://aclanthology.org/2022.acl-short.36) ,
by *Tabasi, Mohsen and
Rezaee, Kiamehr and
Pilehvar, Mohammad Taher* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1066-L1075)```tabasi-etal-2022-exploiting```
- [![](https://img.shields.io/badge/ACL_Findings-2021-green)](https://doi.org/10.18653/v1/2021.findings-acl.214) [**Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event
Detection**](https://doi.org/10.18653/v1/2021.findings-acl.214) ,
by *Shirong Shen and
Tongtong Wu and
Guilin Qi and
Yuan{-}Fang Li and
Gholamreza Haffari and
Sheng Bi* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1161-L1174)```ShenWQLHB21```
- [![](https://img.shields.io/badge/ACL-2021-green)](https://aclanthology.org/2021.acl-long.447) [**A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters**](https://aclanthology.org/2021.acl-long.447) ,
by *Zhao, Mengjie and
Zhu, Yi and
Shareghi, Ehsan and
Vuli{\'c}, Ivan and
Reichart, Roi and
Korhonen, Anna and
Sch{\"u}tze, Hinrich* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1440-L1453)```zhao-etal-2021-closer```
- [![](https://img.shields.io/badge/ACL-2021-green)](https://aclanthology.org/2021.acl-long.239) [**Few-Shot Question Answering by Pretraining Span Selection**](https://aclanthology.org/2021.acl-long.239) ,
by *Ram, Ori and
Kirstain, Yuval and
Berant, Jonathan and
Globerson, Amir and
Levy, Omer* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1455-L1466)```ram-etal-2021-shot```
- [![](https://img.shields.io/badge/ACL-2021-green)](https://aclanthology.org/2021.acl-long.248) [**Few-NERD: A Few-shot Named Entity Recognition Dataset**](https://aclanthology.org/2021.acl-long.248) ,
by *Ding, Ning and
Xu, Guangwei and
Chen, Yulin and
Wang, Xiaobin and
Han, Xu and
Xie, Pengjun and
Zheng, Haitao and
Liu, Zhiyuan* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1468-L1482)```ding-etal-2021-nerd```
- [![](https://img.shields.io/badge/ACL-2021-green)](https://aclanthology.org/2021.acl-long.295) [**Making Pre-trained Language Models Better Few-shot Learners**](https://aclanthology.org/2021.acl-long.295) ,
by *Gao, Tianyu and
Fisch, Adam and
Chen, Danqi* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1484-L1493)```gao-etal-2021-making```
- [![](https://img.shields.io/badge/ACL-2021-green)](https://aclanthology.org/2021.acl-short.105) [**Distinct Label Representations for Few-Shot Text Classification**](https://aclanthology.org/2021.acl-short.105) ,
by *Ohashi, Sora and
Takayama, Junya and
Kajiwara, Tomoyuki and
Arase, Yuki* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1495-L1505)```ohashi-etal-2021-distinct```
- [![](https://img.shields.io/badge/ACL-2021-green)](https://aclanthology.org/2021.acl-long.95) [**AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation**](https://aclanthology.org/2021.acl-long.95) ,
by *Xu, Xinnuo and
Wang, Guoyin and
Kim, Young-Bum and
Lee, Sungjin* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1507-L1517)```xu-etal-2021-augnlg```
- [![](https://img.shields.io/badge/ACL-2021-green)](https://aclanthology.org/2021.acl-long.495) [**Multi-Label Few-Shot Learning for Aspect Category Detection**](https://aclanthology.org/2021.acl-long.495) ,
by *Hu, Mengting and
Zhao, Shiwan and
Guo, Honglei and
Xue, Chao and
Gao, Hang and
Gao, Tiegang and
Cheng, Renhong and
Su, Zhong* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1519-L1533)```hu-etal-2021-multi-label```
- [![](https://img.shields.io/badge/ACL-2021-green)](https://aclanthology.org/2021.acl-long.382) [**Lexicon Learning for Few Shot Sequence Modeling**](https://aclanthology.org/2021.acl-long.382) ,
by *Akyurek, Ekin and
Andreas, Jacob* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1535-L1543)```akyurek-andreas-2021-lexicon```
- [![](https://img.shields.io/badge/ACL-2021-green)](https://aclanthology.org/2021.acl-short.124) [**Entity Concept-enhanced Few-shot Relation Extraction**](https://aclanthology.org/2021.acl-short.124) ,
by *Yang, Shan and
Zhang, Yongfei and
Niu, Guanglin and
Zhao, Qinghua and
Pu, Shiliang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1545-L1556)```yang-etal-2021-entity```
- [![](https://img.shields.io/badge/ACL-2021-green)](https://aclanthology.org/2021.acl-long.487) [**Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition**](https://aclanthology.org/2021.acl-long.487) ,
by *Tong, Meihan and
Wang, Shuai and
Xu, Bin and
Cao, Yixin and
Liu, Minghui and
Hou, Lei and
Li, Juanzi* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1558-L1571)```tong-etal-2021-learning```
- [![](https://img.shields.io/badge/ACL-2021-green)](https://aclanthology.org/2021.acl-short.2) [**On Training Instance Selection for Few-Shot Neural Text Generation**](https://aclanthology.org/2021.acl-short.2) ,
by *Chang, Ernie and
Shen, Xiaoyu and
Yeh, Hui-Syuan and
Demberg, Vera* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1573-L1583)```chang-etal-2021-training```
- [![](https://img.shields.io/badge/ACL-2020-green)](https://www.aclweb.org/anthology/2020.acl-main.11) [**Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations**](https://www.aclweb.org/anthology/2020.acl-main.11) ,
by *Coope, Samuel and
Farghly, Tyler and
Gerz, Daniela and
Vuli{\'c}, Ivan and
Henderson, Matthew* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3099-L3110)```coope-etal-2020-span```
- [![](https://img.shields.io/badge/ACL-2020-green)](https://www.aclweb.org/anthology/2020.acl-main.18) [**Few-Shot NLG with Pre-Trained Language Model**](https://www.aclweb.org/anthology/2020.acl-main.18) ,
by *Chen, Zhiyu and
Eavani, Harini and
Chen, Wenhu and
Liu, Yinyin and
Wang, William Yang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3112-L3123)```chen-etal-2020-shot```
- [![](https://img.shields.io/badge/ACL-2020-green)](https://www.aclweb.org/anthology/2020.acl-main.102) [**Dynamic Memory Induction Networks for Few-Shot Text Classification**](https://www.aclweb.org/anthology/2020.acl-main.102) ,
by *Geng, Ruiying and
Li, Binhua and
Li, Yongbin and
Sun, Jian and
Zhu, Xiaodan* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3125-L3136)```geng-etal-2020-dynamic```
- [![](https://img.shields.io/badge/ACL-2020-green)](https://www.aclweb.org/anthology/2020.acl-main.128) [**Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network**](https://www.aclweb.org/anthology/2020.acl-main.128) ,
by *Hou, Yutai and
Che, Wanxiang and
Lai, Yongkui and
Zhou, Zhihan and
Liu, Yijia and
Liu, Han and
Liu, Ting* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3138-L3151)```hou-etal-2020-shot```
- [![](https://img.shields.io/badge/ACL-2020-green)](https://www.aclweb.org/anthology/2020.acl-main.436) [**Shaping Visual Representations with Language for Few-Shot Classification**](https://www.aclweb.org/anthology/2020.acl-main.436) ,
by *Mu, Jesse and
Liang, Percy and
Goodman, Noah* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3153-L3162)```mu-etal-2020-shaping```
- [![](https://img.shields.io/badge/ACL-2020-green)](https://www.aclweb.org/anthology/2020.acl-main.517) [**Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks**](https://www.aclweb.org/anthology/2020.acl-main.517) ,
by *Song, Yiping and
Liu, Zequn and
Bi, Wei and
Yan, Rui and
Zhang, Ming* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3164-L3175)```song-etal-2020-learning```
- [![](https://img.shields.io/badge/ACL-2020-green)](https://www.aclweb.org/anthology/2020.acl-main.654) [**Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering**](https://www.aclweb.org/anthology/2020.acl-main.654) ,
by *Yan, Ming and
Zhang, Hao and
Jin, Di and
Zhou, Joey Tianyi* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3177-L3187)```yan-etal-2020-multi-source```
- [![](https://img.shields.io/badge/ACL-2020-green)](https://www.aclweb.org/anthology/2020.acl-main.437) [**Discrete Latent Variable Representations for Low-Resource Text Classification**](https://www.aclweb.org/anthology/2020.acl-main.437) ,
by *Jin, Shuning and
Wiseman, Sam and
Stratos, Karl and
Livescu, Karen* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3189-L3199)```jin-etal-2020-discrete```
- [![](https://img.shields.io/badge/ACL-2020-green)](https://www.aclweb.org/anthology/2020.acl-main.523) [**Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling**](https://www.aclweb.org/anthology/2020.acl-main.523) ,
by *Kruengkrai, Canasai and
Nguyen, Thien Hai and
Aljunied, Sharifah Mahani and
Bing, Lidong* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3201-L3211)```kruengkrai-etal-2020-improving```
- [![](https://img.shields.io/badge/ACL-2020-green)](https://www.aclweb.org/anthology/2020.acl-main.722) [**Soft Gazetteers for Low-Resource Named Entity Recognition**](https://www.aclweb.org/anthology/2020.acl-main.722) ,
by *Rijhwani, Shruti and
Zhou, Shuyan and
Neubig, Graham and
Carbonell, Jaime* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3213-L3223)```rijhwani-etal-2020-soft```
- [![](https://img.shields.io/badge/ACL-2019-green)](https://doi.org/10.18653/v1/p19-1279) [**Matching the Blanks: Distributional Similarity for Relation Learning**](https://doi.org/10.18653/v1/p19-1279) ,
by *Livio Baldini Soares and
Nicholas FitzGerald and
Jeffrey Ling and
Tom Kwiatkowski* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1290-L1300)
```MTB
``````SoaresFLK19```
- [![](https://img.shields.io/badge/ACL-2019-green)](https://doi.org/10.18653/v1/p19-1277) [**Multi-Level Matching and Aggregation Network for Few-Shot Relation
Classification**](https://doi.org/10.18653/v1/p19-1277) ,
by *Zhi{-}Xiu Ye and
Zhen{-}Hua Ling* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1351-L1360)
```MLMAN
``````YeL19```
## EMNLP- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.212) [**MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction**](https://aclanthology.org/2021.emnlp-main.212) ,
by *Dong, Manqing and
Pan, Chunguang and
Luo, Zhipeng* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L229-L239)
```proposing a label-aware method for low-resource relation extraction
``````dong-etal-2021-mapre```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.144) [**Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning**](https://aclanthology.org/2021.emnlp-main.144) ,
by *Zhang, Jianguo and
Bui, Trung and
Yoon, Seunghyun and
Chen, Xiang and
Liu, Zhiwei and
Xia, Congying and
Tran, Quan Hung and
Chang, Walter and
Yu, Philip* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L244-L261)```zhang-etal-2021-shot```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.142) [**Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems**](https://aclanthology.org/2021.emnlp-main.142) ,
by *Mi, Fei and
Zhou, Wanhao and
Kong, Lingjing and
Cai, Fengyu and
Huang, Minlie and
Faltings, Boi* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L263-L277)```mi-etal-2021-self```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.131) [**Nearest Neighbour Few-Shot Learning for Cross-lingual Classification**](https://aclanthology.org/2021.emnlp-main.131) ,
by *Bari, M Saiful and
Haider, Batool and
Mansour, Saab* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L279-L290)```bari-etal-2021-nearest```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.221) [**TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification**](https://aclanthology.org/2021.emnlp-main.221) ,
by *Wang, Chengyu and
Wang, Jianing and
Qiu, Minghui and
Huang, Jun and
Gao, Ming* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L292-L305)```wang-etal-2021-transprompt```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.433) [**Towards Realistic Few-Shot Relation Extraction**](https://aclanthology.org/2021.emnlp-main.433) ,
by *Brody, Sam and
Wu, Sichao and
Benton, Adrian* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L307-L318)```brody-etal-2021-towards```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.204) [**Exploring Task Difficulty for Few-Shot Relation Extraction**](https://aclanthology.org/2021.emnlp-main.204) ,
by *Han, Jiale and
Cheng, Bo and
Lu, Wei* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L320-L331)```han-etal-2021-exploring```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.427) [**Learning Prototype Representations Across Few-Shot Tasks for Event Detection**](https://aclanthology.org/2021.emnlp-main.427) ,
by *Lai, Viet Dac and
Dernoncourt, Franck and
Nguyen, Thien Huu* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L333-L344)```lai-etal-2021-learning```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.734) [**Language Models are Few-Shot Butlers**](https://aclanthology.org/2021.emnlp-main.734) ,
by *Micheli, Vincent and
Fleuret, Francois* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L346-L356)
```proposing to use RL and few-shot supervised learning for text generation.
``````micheli-fleuret-2021-language```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.637) [**Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention**](https://aclanthology.org/2021.emnlp-main.637) ,
by *Chen, Jiawei and
Lin, Hongyu and
Han, Xianpei and
Sun, Le* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L360-L372)```chen-etal-2021-honey```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.572) [**CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP**](https://aclanthology.org/2021.emnlp-main.572) ,
by *Ye, Qinyuan and
Lin, Bill Yuchen and
Ren, Xiang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L374-L385)```ye-etal-2021-crossfit```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.608) [**Constrained Language Models Yield Few-Shot Semantic Parsers**](https://aclanthology.org/2021.emnlp-main.608) ,
by *Shin, Richard and
Lin, Christopher and
Thomson, Sam and
Chen, Charles and
Roy, Subhro and
Platanios, Emmanouil Antonios and
Pauls, Adam and
Klein, Dan and
Eisner, Jason and
Van Durme, Benjamin* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L387-L405)```shin-etal-2021-constrained```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.407) [**Improving and Simplifying Pattern Exploiting Training**](https://aclanthology.org/2021.emnlp-main.407) ,
by *Tam, Derek and
R. Menon, Rakesh and
Bansal, Mohit and
Srivastava, Shashank and
Raffel, Colin* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L407-L420)
```proposing ADAPET which promisingly improves the data efficiency of PET. ADAPET does not leverage unlabelled data for training, and introduces label-conditioned loss for the denser supervision.
``````tam-etal-2021-improving```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.836) [**Self-training with Few-shot Rationalization**](https://aclanthology.org/2021.emnlp-main.836) ,
by *Bhat, Meghana Moorthy and
Sordoni, Alessandro and
Mukherjee, Subhabrata* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L423-L434)```bhat-etal-2021-self```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.92) [**Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction**](https://aclanthology.org/2021.emnlp-main.92) ,
by *Sainz, Oscar and
Lopez de Lacalle, Oier and
Labaka, Gorka and
Barrena, Ander and
Agirre, Eneko* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L436-L449)```sainz-etal-2021-label```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.460) [**Continual Few-Shot Learning for Text Classification**](https://aclanthology.org/2021.emnlp-main.460) ,
by *Pasunuru, Ramakanth and
Stoyanov, Veselin and
Bansal, Mohit* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L451-L462)```pasunuru-etal-2021-continual```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.813) [**Few-Shot Named Entity Recognition: An Empirical Baseline Study**](https://aclanthology.org/2021.emnlp-main.813) ,
by *Huang, Jiaxin and
Li, Chunyuan and
Subudhi, Krishan and
Jose, Damien and
Balakrishnan, Shobana and
Chen, Weizhu and
Peng, Baolin and
Gao, Jianfeng and
Han, Jiawei* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L464-L481)```huang-etal-2021-shot```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.462) [**STraTA: Self-Training with Task Augmentation for Better Few-shot Learning**](https://aclanthology.org/2021.emnlp-main.462) ,
by *Vu, Tu and
Luong, Minh-Thang and
Le, Quoc and
Simon, Grady and
Iyyer, Mohit* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L483-L496)
```pretrained language model-based self-training and data agumentation for few-shot learning.
``````vu-etal-2021-strata```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.491) [**FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models**](https://aclanthology.org/2021.emnlp-main.491) ,
by *Chada, Rakesh and
Natarajan, Pradeep* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L499-L509)```chada-natarajan-2021-fewshotqa```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.713) [**Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning**](https://aclanthology.org/2021.emnlp-main.713) ,
by *Utama, Prasetya and
Moosavi, Nafise Sadat and
Sanh, Victor and
Gurevych, Iryna* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L511-L523)```utama-etal-2021-avoiding```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.718) [**Revisiting Self-training for Few-shot Learning of Language Model**](https://aclanthology.org/2021.emnlp-main.718) ,
by *Chen, Yiming and
Zhang, Yan and
Zhang, Chen and
Lee, Grandee and
Cheng, Ran and
Li, Haizhou* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L525-L539)```chen-etal-2021-revisiting```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.509) [**Open Aspect Target Sentiment Classification with Natural Language Prompts**](https://aclanthology.org/2021.emnlp-main.509) ,
by *Seoh, Ronald and
Birle, Ian and
Tak, Mrinal and
Chang, Haw-Shiuan and
Pinette, Brian and
Hough, Alfred* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L541-L555)```seoh-etal-2021-open```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.301) [**FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation**](https://aclanthology.org/2021.emnlp-main.301) ,
by *Lakhotia, Kushal and
Paranjape, Bhargavi and
Ghoshal, Asish and
Yih, Scott and
Mehdad, Yashar and
Iyer, Srini* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L557-L571)```lakhotia-etal-2021-fid```
- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://aclanthology.org/2021.emnlp-main.549) [**Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks**](https://aclanthology.org/2021.emnlp-main.549) ,
by *Guibon, Ga{\"e}l and
Labeau, Matthieu and
Flamein, H{\'e}l{\`e}ne and
Lefeuvre, Luce and
Clavel, Chlo{\'e}* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L574-L587)```guibon-etal-2021-shot```
- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://www.aclweb.org/anthology/2020.emnlp-main.346) [**AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts**](https://www.aclweb.org/anthology/2020.emnlp-main.346) ,
by *Shin, Taylor and
Razeghi, Yasaman and
Logan IV, Robert L. and
Wallace, Eric and
Singh, Sameer* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3086-L3097)```shin-etal-2020-autoprompt```
- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://www.aclweb.org/anthology/2020.emnlp-main.38) [**Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks**](https://www.aclweb.org/anthology/2020.emnlp-main.38) ,
by *Bansal, Trapit and
Jha, Rishikesh and
Munkhdalai, Tsendsuren and
McCallum, Andrew* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3225-L3235)```bansal-etal-2020-self```
- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://www.aclweb.org/anthology/2020.emnlp-main.131) [**Adaptive Attentional Network for Few-Shot Knowledge Graph Completion**](https://www.aclweb.org/anthology/2020.emnlp-main.131) ,
by *Sheng, Jiawei and
Guo, Shu and
Chen, Zhenyu and
Yue, Juwei and
Wang, Lihong and
Liu, Tingwen and
Xu, Hongbo* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3237-L3250)```sheng-etal-2020-adaptive```
- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://www.aclweb.org/anthology/2020.emnlp-main.235) [**Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs**](https://www.aclweb.org/anthology/2020.emnlp-main.235) ,
by *Lu, Jueqing and
Du, Lan and
Liu, Ming and
Dipnall, Joanna* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3252-L3262)```lu-etal-2020-multi```
- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://www.aclweb.org/anthology/2020.emnlp-main.375) [**Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models**](https://www.aclweb.org/anthology/2020.emnlp-main.375) ,
by *Wilcox, Ethan and
Qian, Peng and
Futrell, Richard and
Kohita, Ryosuke and
Levy, Roger and
Ballesteros, Miguel* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3264-L3276)```wilcox-etal-2020-structural```
- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://www.aclweb.org/anthology/2020.emnlp-main.411) [**Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference**](https://www.aclweb.org/anthology/2020.emnlp-main.411) ,
by *Zhang, Jianguo and
Hashimoto, Kazuma and
Liu, Wenhao and
Wu, Chien-Sheng and
Wan, Yao and
Yu, Philip and
Socher, Richard and
Xiong, Caiming* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3278-L3292)```zhang-etal-2020-discriminative```
- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://www.aclweb.org/anthology/2020.emnlp-main.469) [**Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning**](https://www.aclweb.org/anthology/2020.emnlp-main.469) ,
by *Hua, Yuncheng and
Li, Yuan-Fang and
Haffari, Gholamreza and
Qi, Guilin and
Wu, Tongtong* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3294-L3305)```hua-etal-2020-shot```
- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://www.aclweb.org/anthology/2020.emnlp-main.516) [**Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning**](https://www.aclweb.org/anthology/2020.emnlp-main.516) ,
by *Yang, Yi and
Katiyar, Arzoo* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3307-L3315)```yang-katiyar-2020-simple```
- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://www.aclweb.org/anthology/2020.emnlp-main.607) [**An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels**](https://www.aclweb.org/anthology/2020.emnlp-main.607) ,
by *Chalkidis, Ilias and
Fergadiotis, Manos and
Kotitsas, Sotiris and
Malakasiotis, Prodromos and
Aletras, Nikolaos and
Androutsopoulos, Ion* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3317-L3329)```chalkidis-etal-2020-empirical```
- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://www.aclweb.org/anthology/2020.emnlp-main.660) [**Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start**](https://www.aclweb.org/anthology/2020.emnlp-main.660) ,
by *Yin, Wenpeng and
Rajani, Nazneen Fatema and
Radev, Dragomir and
Socher, Richard and
Xiong, Caiming* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3331-L3342)```yin-etal-2020-universal```
- [![](https://img.shields.io/badge/EMNLP_Findings-2020-green)](https://www.aclweb.org/anthology/2020.findings-emnlp.17) [**Few-shot Natural Language Generation for Task-Oriented Dialog**](https://www.aclweb.org/anthology/2020.findings-emnlp.17) ,
by *Peng, Baolin and
Zhu, Chenguang and
Li, Chunyuan and
Li, Xiujun and
Li, Jinchao and
Zeng, Michael and
Gao, Jianfeng* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3344-L3357)```peng-etal-2020-shot```
- [![](https://img.shields.io/badge/EMNLP_Findings-2020-green)](https://www.aclweb.org/anthology/2020.findings-emnlp.108) [**Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection**](https://www.aclweb.org/anthology/2020.findings-emnlp.108) ,
by *Nguyen, Hoang and
Zhang, Chenwei and
Xia, Congying and
Yu, Philip* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3359-L3369)```nguyen-etal-2020-dynamic```
- [![](https://img.shields.io/badge/EMNLP_Findings-2020-green)](https://www.aclweb.org/anthology/2020.findings-emnlp.303) [**Composed Variational Natural Language Generation for Few-shot Intents**](https://www.aclweb.org/anthology/2020.findings-emnlp.303) ,
by *Xia, Congying and
Xiong, Caiming and
Yu, Philip and
Socher, Richard* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3371-L3381)```xia-etal-2020-composed```
- [![](https://img.shields.io/badge/EMNLP-2019-green)](https://doi.org/10.18653/v1/D19-1649) [**FewRel 2.0: Towards More Challenging Few-Shot Relation Classification**](https://doi.org/10.18653/v1/D19-1649) ,
by *Tianyu Gao and
Xu Han and
Hao Zhu and
Zhiyuan Liu and
Peng Li and
Maosong Sun and
Jie Zhou* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1335-L1348)
```Fewrel 2.0 dataset
``````GaoHZLLSZ19```
- [![](https://img.shields.io/badge/EMNLP-2018-green)](https://doi.org/10.18653/v1/d18-1514) [**FewRel: A Large-Scale Supervised Few-shot Relation Classification
Dataset with State-of-the-Art Evaluation**](https://doi.org/10.18653/v1/d18-1514) ,
by *Xu Han and
Hao Zhu and
Pengfei Yu and
Ziyun Wang and
Yuan Yao and
Zhiyuan Liu and
Maosong Sun* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1318-L1332)
```FewRel dataset
``````HanZYWYLS18```
## NAACL- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.7) [**LEA: Meta Knowledge-Driven Self-Attentive Document Embedding for Few-Shot Text Classification**](https://aclanthology.org/2022.naacl-main.7) ,
by *Hong, S. K. and
Jang, Tae Young* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L64-L72)```hong-jang-2022-lea```
- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.98) [**On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data**](https://aclanthology.org/2022.naacl-main.98) ,
by *Ahuja, Kabir and
Choudhury, Monojit and
Dandapat, Sandipan* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L74-L83)```ahuja-etal-2022-economics```
- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.39) [**Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization**](https://aclanthology.org/2022.naacl-main.39) ,
by *Zhang, Haode and
Liang, Haowen and
Zhang, Yuwei and
Zhan, Li-Ming and
Wu, Xiao-Ming and
Lu, Xiaolei and
Lam, Albert* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L85-L98)```zhang-etal-2022-fine```
- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.260) [**Improving In-Context Few-Shot Learning via Self-Supervised Training**](https://aclanthology.org/2022.naacl-main.260) ,
by *Chen, Mingda and
Du, Jingfei and
Pasunuru, Ramakanth and
Mihaylov, Todor and
Iyer, Srini and
Stoyanov, Veselin and
Kozareva, Zornitsa* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L100-L113)```chen-etal-2022-improving```
- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.369) [**An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling**](https://aclanthology.org/2022.naacl-main.369) ,
by *Wang, Peiyi and
Xu, Runxin and
Liu, Tianyu and
Zhou, Qingyu and
Cao, Yunbo and
Chang, Baobao and
Sui, Zhifang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L116-L129)```wang-etal-2022-enhanced```
- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.141) [**MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification**](https://aclanthology.org/2022.naacl-main.141) ,
by *Zhang, Jianhai and
Maimaiti, Mieradilijiang and
Xing, Gao and
Zheng, Yuanhang and
Zhang, Ji* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L132-L143)```zhang-etal-2022-mgimn```
- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.47) [**Reframing Human-AI Collaboration for Generating Free-Text Explanations**](https://aclanthology.org/2022.naacl-main.47) ,
by *Wiegreffe, Sarah and
Hessel, Jack and
Swayamdipta, Swabha and
Riedl, Mark and
Choi, Yejin* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L145-L156)```wiegreffe-etal-2022-reframing```
- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.421) [**Few-Shot Document-Level Relation Extraction**](https://aclanthology.org/2022.naacl-main.421) ,
by *Popovic, Nicholas and
F{\"a}rber, Michael* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L158-L166)```popovic-farber-2022-shot```
- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.420) [**Template-free Prompt Tuning for Few-shot NER**](https://aclanthology.org/2022.naacl-main.420) ,
by *Ma, Ruotian and
Zhou, Xin and
Gui, Tao and
Tan, Yiding and
Li, Linyang and
Zhang, Qi and
Huang, Xuanjing* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L168-L181)```ma-etal-2022-template```
- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.201) [**MetaICL: Learning to Learn In Context**](https://aclanthology.org/2022.naacl-main.201) ,
by *Min, Sewon and
Lewis, Mike and
Zettlemoyer, Luke and
Hajishirzi, Hannaneh* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L183-L193)```min-etal-2022-metaicl```
- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.408) [**Contrastive Learning for Prompt-based Few-shot Language Learners**](https://aclanthology.org/2022.naacl-main.408) ,
by *Jian, Yiren and
Gao, Chongyang and
Vosoughi, Soroush* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L195-L204)```jian-etal-2022-contrastive```
- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.404) [**Embedding Hallucination for Few-shot Language Fine-tuning**](https://aclanthology.org/2022.naacl-main.404) ,
by *Jian, Yiren and
Gao, Chongyang and
Vosoughi, Soroush* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L206-L215)```jian-etal-2022-embedding```
- [![](https://img.shields.io/badge/NAACL-2022-green)](https://aclanthology.org/2022.naacl-main.401) [**Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification**](https://aclanthology.org/2022.naacl-main.401) ,
by *Wang, Han and
Xu, Canwen and
McAuley, Julian* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L217-L226)```wang-etal-2022-automatic```
- [![](https://img.shields.io/badge/NAACL_HLT-2021-green)](https://www.aclweb.org/anthology/2021.naacl-main.88) [**DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference**](https://www.aclweb.org/anthology/2021.naacl-main.88) ,
by *Murty, Shikhar and
Hashimoto, Tatsunori B. and
Manning, Christopher* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2718-L2727)```murty-etal-2021-dreca```
- [![](https://img.shields.io/badge/NAACL_HLT-2021-green)](https://www.aclweb.org/anthology/2021.naacl-main.410) [**Learning How to Ask: Querying LMs with Mixtures of Soft Prompts**](https://www.aclweb.org/anthology/2021.naacl-main.410) ,
by *Qin, Guanghui and
Eisner, Jason* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3032-L3040)```qin-eisner-2021-learning```
- [![](https://img.shields.io/badge/NAACL_HLT-2021-green)](https://www.aclweb.org/anthology/2021.naacl-main.398) [**Factual Probing Is [MASK]: Learning vs. Learning to Recall**](https://www.aclweb.org/anthology/2021.naacl-main.398) ,
by *Zhong, Zexuan and
Friedman, Dan and
Chen, Danqi* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3052-L3061)```zhong-etal-2021-factual```
- [![](https://img.shields.io/badge/NAACL_HLT-2021-green)](https://www.aclweb.org/anthology/2021.naacl-main.185) [**It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners**](https://www.aclweb.org/anthology/2021.naacl-main.185) ,
by *Schick, Timo and
Sch{\"u}tze, Hinrich* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3063-L3071)```schick-schutze-2021-just```
- [![](https://img.shields.io/badge/NAACL_HLT-2021-green)](https://www.aclweb.org/anthology/2021.naacl-main.59) [**Few-shot Intent Classification and Slot Filling with Retrieved Examples**](https://www.aclweb.org/anthology/2021.naacl-main.59) ,
by *Yu, Dian and
He, Luheng and
Zhang, Yuan and
Du, Xinya and
Pasupat, Panupong and
Li, Qi* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3383-L3395)```yu-etal-2021-shot```
- [![](https://img.shields.io/badge/NAACL_HLT-2021-green)](https://www.aclweb.org/anthology/2021.naacl-main.106) [**Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System**](https://www.aclweb.org/anthology/2021.naacl-main.106) ,
by *Xia, Congying and
Yin, Wenpeng and
Feng, Yihao and
Yu, Philip* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3398-L3408)```xia-etal-2021-incremental```
- [![](https://img.shields.io/badge/NAACL_HLT-2021-green)](https://www.aclweb.org/anthology/2021.naacl-main.158) [**Towards Few-shot Fact-Checking via Perplexity**](https://www.aclweb.org/anthology/2021.naacl-main.158) ,
by *Lee, Nayeon and
Bang, Yejin and
Madotto, Andrea and
Fung, Pascale* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3410-L3420)```lee-etal-2021-towards```
- [![](https://img.shields.io/badge/NAACL_HLT-2021-green)](https://www.aclweb.org/anthology/2021.naacl-main.261) [**Knowledge Guided Metric Learning for Few-Shot Text Classification**](https://www.aclweb.org/anthology/2021.naacl-main.261) ,
by *Sui, Dianbo and
Chen, Yubo and
Mao, Binjie and
Qiu, Delai and
Liu, Kang and
Zhao, Jun* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3423-L3438)```sui-etal-2021-knowledge```
- [![](https://img.shields.io/badge/NAACL_HLT-2021-green)](https://www.aclweb.org/anthology/2021.naacl-main.264) [**ConVEx: Data-Efficient and Few-Shot Slot Labeling**](https://www.aclweb.org/anthology/2021.naacl-main.264) ,
by *Henderson, Matthew and
Vuli{\'c}, Ivan* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3440-L3448)```henderson-vulic-2021-convex```
- [![](https://img.shields.io/badge/NAACL_HLT-2021-green)](https://www.aclweb.org/anthology/2021.naacl-main.434) [**Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning**](https://www.aclweb.org/anthology/2021.naacl-main.434) ,
by *Wei, Jason and
Huang, Chengyu and
Vosoughi, Soroush and
Cheng, Yu and
Xu, Shiqi* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3450-L3461)```wei-etal-2021-shot```
## COLING- [![](https://img.shields.io/badge/COLING-2020-green)](https://doi.org/10.18653/v1/2020.coling-main.563) [**Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot
Relational Triple Extraction**](https://doi.org/10.18653/v1/2020.coling-main.563) ,
by *Haiyang Yu and
Ningyu Zhang and
Shumin Deng and
Hongbin Ye and
Wei Zhang and
Huajun Chen* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1303-L1316)```YuZDYZC20```
## EACL- [![](https://img.shields.io/badge/EACL-2021-green)](https://www.aclweb.org/anthology/2021.eacl-main.20) [**Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference**](https://www.aclweb.org/anthology/2021.eacl-main.20) ,
by *Schick, Timo and
Sch{\"u}tze, Hinrich* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3042-L3050)```schick-schutze-2021-exploiting```
## ICML- [![](https://img.shields.io/badge/ICML-2022-green)](https://proceedings.mlr.press/v162/giannone22a.html) [**SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation**](https://proceedings.mlr.press/v162/giannone22a.html) ,
by *Giannone, Giorgio and Winther, Ole* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3-L10)```pmlr-v162-giannone22a```
- [![](https://img.shields.io/badge/ICML-2022-green)](https://proceedings.mlr.press/v162/luo22c.html) [**Channel Importance Matters in Few-Shot Image Classification**](https://proceedings.mlr.press/v162/luo22c.html) ,
by *Luo, Xu, Xu, Jing and Xu, Zenglin* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L12-L19)```pmlr-v162-luo22c```
- [![](https://img.shields.io/badge/ICML-2022-green)](https://proceedings.mlr.press/v162/sharma22b.html) [**Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold**](https://proceedings.mlr.press/v162/sharma22b.html) ,
by *Sharma, Sugandha, Chandra, Sarthak and Fiete, Ila* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L22-L29)```pmlr-v162-sharma22b```
- [![](https://img.shields.io/badge/ICML-2022-green)](https://proceedings.mlr.press/v162/xu22g.html) [**Prompting Decision Transformer for Few-Shot Policy Generalization**](https://proceedings.mlr.press/v162/xu22g.html) ,
by *Xu, Mengdi, Shen, Yikang, Zhang, Shun, Lu, Yuchen, Zhao, Ding, Tenenbaum, Joshua and Gan, Chuang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L33-L40)```pmlr-v162-xu22g```
- [![](https://img.shields.io/badge/ICML-2022-green)](https://proceedings.mlr.press/v162/zhmoginov22a.html) [**HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning**](https://proceedings.mlr.press/v162/zhmoginov22a.html) ,
by *Zhmoginov, Andrey, Sandler, Mark and Vladymyrov, Maksym* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L43-L50)```pmlr-v162-zhmoginov22a```
- [![](https://img.shields.io/badge/ICML-2022-green)](https://proceedings.mlr.press/v162/day22a.html) [**Attentional Meta-learners for Few-shot Polythetic Classification**](https://proceedings.mlr.press/v162/day22a.html) ,
by *Day, Ben J, Torn{\'e}, Ramon Vi{\~n}as, Simidjievski, Nikola and Li{\'o}, Pietro* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L54-L61)```pmlr-v162-day22a```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/lee21d.html) [**Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification**](http://proceedings.mlr.press/v139/lee21d.html) ,
by *Lee, Dong Hoon and Chung, Sae-Young* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1413-L1420)```pmlr-v139-lee21d```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/shin21a.html) [**Large-Scale Meta-Learning with Continual Trajectory Shifting**](http://proceedings.mlr.press/v139/shin21a.html) ,
by *Shin, Jaewoong, Lee, Hae Beom, Gong, Boqing and Hwang, Sung Ju* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1586-L1593)```pmlr-v139-shin21a```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/zhu21d.html) [**Few-shot Language Coordination by Modeling Theory of Mind**](http://proceedings.mlr.press/v139/zhu21d.html) ,
by *Zhu, Hao, Neubig, Graham and Bisk, Yonatan* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1596-L1603)```pmlr-v139-zhu21d```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/zhao21c.html) [**Calibrate Before Use: Improving Few-shot Performance of Language Models**](http://proceedings.mlr.press/v139/zhao21c.html) ,
by *Zhao, Zihao, Wallace, Eric, Feng, Shi, Klein, Dan and Singh, Sameer* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1607-L1614)```pmlr-v139-zhao21c```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/zhao21d.html) [**Few-Shot Neural Architecture Search**](http://proceedings.mlr.press/v139/zhao21d.html) ,
by *Zhao, Yiyang, Wang, Linnan, Tian, Yuandong, Fonseca, Rodrigo and Guo, Tian* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1617-L1624)```pmlr-v139-zhao21d```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/triantafillou21a.html) [**Learning a Universal Template for Few-shot Dataset Generalization**](http://proceedings.mlr.press/v139/triantafillou21a.html) ,
by *Triantafillou, Eleni, Larochelle, Hugo, Zemel, Richard and Dumoulin, Vincent* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1627-L1634)```pmlr-v139-triantafillou21a```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/cui21a.html) [**Parameterless Transductive Feature Re-representation for Few-Shot Learning**](http://proceedings.mlr.press/v139/cui21a.html) ,
by *Cui, Wentao and Guo, Yuhong* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1637-L1644)```pmlr-v139-cui21a```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/bai21a.html) [**How Important is the Train-Validation Split in Meta-Learning?**](http://proceedings.mlr.press/v139/bai21a.html) ,
by *Bai, Yu, Chen, Minshuo, Zhou, Pan, Zhao, Tuo, Lee, Jason, Kakade, Sham, Wang, Huan and Xiong, Caiming* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1647-L1654)```pmlr-v139-bai21a```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/fisch21a.html) [**Few-Shot Conformal Prediction with Auxiliary Tasks**](http://proceedings.mlr.press/v139/fisch21a.html) ,
by *Fisch, Adam, Schuster, Tal, Jaakkola, Tommi and Barzilay, Dr.Regina* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1657-L1664)```pmlr-v139-fisch21a```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/konobeev21a.html) [**A Distribution-dependent Analysis of Meta Learning**](http://proceedings.mlr.press/v139/konobeev21a.html) ,
by *Konobeev, Mikhail, Kuzborskij, Ilja and Szepesvari, Csaba* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1667-L1674)```pmlr-v139-konobeev21a```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/ni21a.html) [**Data Augmentation for Meta-Learning**](http://proceedings.mlr.press/v139/ni21a.html) ,
by *Ni, Renkun, Goldblum, Micah, Sharaf, Amr, Kong, Kezhi and Goldstein, Tom* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1677-L1684)```pmlr-v139-ni21a```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/wang21ad.html) [**Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation**](http://proceedings.mlr.press/v139/wang21ad.html) ,
by *Wang, Haoxiang, Zhao, Han and Li, Bo* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1687-L1694)```pmlr-v139-wang21ad```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/vedantam21a.html) [**CURI: A Benchmark for Productive Concept Learning Under Uncertainty**](http://proceedings.mlr.press/v139/vedantam21a.html) ,
by *Vedantam, Ramakrishna, Szlam, Arthur, Nickel, Maximillian, Morcos, Ari and Lake, Brenden M* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1697-L1704)```pmlr-v139-vedantam21a```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/saunshi21a.html) [**A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning**](http://proceedings.mlr.press/v139/saunshi21a.html) ,
by *Saunshi, Nikunj, Gupta, Arushi and Hu, Wei* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1707-L1714)```pmlr-v139-saunshi21a```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/acar21b.html) [**Memory Efficient Online Meta Learning**](http://proceedings.mlr.press/v139/acar21b.html) ,
by *Acar, Durmus Alp Emre, Zhu, Ruizhao and Saligrama, Venkatesh* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1717-L1724)```pmlr-v139-acar21b```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/yap21a.html) [**Addressing Catastrophic Forgetting in Few-Shot Problems**](http://proceedings.mlr.press/v139/yap21a.html) ,
by *Yap, Pauching, Ritter, Hippolyt and Barber, David* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1726-L1733)```pmlr-v139-yap21a```
- [![](https://img.shields.io/badge/ICML-2021-green)](http://proceedings.mlr.press/v139/achituve21a.html) [**GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning**](http://proceedings.mlr.press/v139/achituve21a.html) ,
by *Achituve, Idan, Navon, Aviv, Yemini, Yochai, Chechik, Gal and Fetaya, Ethan* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1735-L1742)```pmlr-v139-achituve21a```
- [![](https://img.shields.io/badge/ICML-2020-green)](http://proceedings.mlr.press/v119/bronskill20a.html) [**TaskNorm: Rethinking Batch Normalization for Meta-Learning**](http://proceedings.mlr.press/v119/bronskill20a.html) ,
by *Bronskill, John, Gordon, Jonathan, Requeima, James, Nowozin, Sebastian and Turner, Richard* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2096-L2103)```pmlr-v119-bronskill20a```
- [![](https://img.shields.io/badge/ICML-2020-green)](http://proceedings.mlr.press/v119/goldblum20a.html) [**Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks**](http://proceedings.mlr.press/v119/goldblum20a.html) ,
by *Goldblum, Micah, Reich, Steven, Fowl, Liam, Ni, Renkun, Cherepanova, Valeriia and Goldstein, Tom* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2106-L2113)```pmlr-v119-goldblum20a```
- [![](https://img.shields.io/badge/ICML-2020-green)](http://proceedings.mlr.press/v119/iakovleva20a.html) [**Meta-Learning with Shared Amortized Variational Inference**](http://proceedings.mlr.press/v119/iakovleva20a.html) ,
by *Iakovleva, Ekaterina, Verbeek, Jakob and Alahari, Karteek* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2116-L2123)```pmlr-v119-iakovleva20a```
- [![](https://img.shields.io/badge/ICML-2020-green)](http://proceedings.mlr.press/v119/park20b.html) [**Meta Variance Transfer: Learning to Augment from the Others**](http://proceedings.mlr.press/v119/park20b.html) ,
by *Park, Seong-Jin, Han, Seungju, Baek, Ji-Won, Kim, Insoo, Song, Juhwan, Lee, Hae Beom, Han, Jae-Joon and Hwang, Sung Ju* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2126-L2133)```pmlr-v119-park20b```
- [![](https://img.shields.io/badge/ICML-2020-green)](http://proceedings.mlr.press/v119/qu20a.html) [**Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs**](http://proceedings.mlr.press/v119/qu20a.html) ,
by *Qu, Meng, Gao, Tianyu, Xhonneux, Louis-Pascal and Tang, Jian* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2136-L2143)```pmlr-v119-qu20a```
- [![](https://img.shields.io/badge/ICML-2020-green)](http://proceedings.mlr.press/v119/teshima20a.html) [**Few-shot Domain Adaptation by Causal Mechanism Transfer**](http://proceedings.mlr.press/v119/teshima20a.html) ,
by *Teshima, Takeshi, Sato, Issei and Sugiyama, Masashi* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2146-L2153)```pmlr-v119-teshima20a```
- [![](https://img.shields.io/badge/ICML-2020-green)](http://proceedings.mlr.press/v119/wang20j.html) [**Frustratingly Simple Few-Shot Object Detection**](http://proceedings.mlr.press/v119/wang20j.html) ,
by *Wang, Xin, Huang, Thomas, Gonzalez, Joseph, Darrell, Trevor and Yu, Fisher* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2155-L2162)```pmlr-v119-wang20j```
- [![](https://img.shields.io/badge/ICML-2020-green)](http://proceedings.mlr.press/v119/yoon20b.html) [**XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning**](http://proceedings.mlr.press/v119/yoon20b.html) ,
by *Yoon, Sung Whan, Kim, Do-Yeon, Seo, Jun and Moon, Jaekyun* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2165-L2172)```pmlr-v119-yoon20b```
- [![](https://img.shields.io/badge/ICML-2019-green)]( http://proceedings.mlr.press/v97/allen19b.html ) [**Infinite Mixture Prototypes for Few-shot Learning**]( http://proceedings.mlr.press/v97/allen19b.html ) ,
by *Allen, Kelsey, Shelhamer, Evan, Shin, Hanul and Tenenbaum, Joshua* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2175-L2182)```pmlr-v97-allen19b```
- [![](https://img.shields.io/badge/ICML-2019-green)](http://proceedings.mlr.press/v97/li19c.html) [**LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning**](http://proceedings.mlr.press/v97/li19c.html) ,
by *Li, Huaiyu, Dong, Weiming, Mei, Xing, Ma, Chongyang, Huang, Feiyue and Hu, Bao-Gang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2185-L2192)```pmlr-v97-li19c```
- [![](https://img.shields.io/badge/ICML-2019-green)](http://proceedings.mlr.press/v97/yoon19a.html) [**TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning**](http://proceedings.mlr.press/v97/yoon19a.html) ,
by *Yoon, Sung Whan, Seo, Jun and Moon, Jaekyun* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2194-L2201)```pmlr-v97-yoon19a```
- [![](https://img.shields.io/badge/ICML-2019-green)](
http://proceedings.mlr.press/v97/yao19b.html) [**Hierarchically Structured Meta-learning**](
http://proceedings.mlr.press/v97/yao19b.html) ,
by *Yao, Huaxiu, Wei, Ying, Huang, Junzhou and Li, Zhenhui* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2203-L2212)```pmlr-v97-yao19b```
- [![](https://img.shields.io/badge/ICML-2019-green)](
http://proceedings.mlr.press/v97/zintgraf19a.html) [**Fast Context Adaptation via Meta-Learning**](
http://proceedings.mlr.press/v97/zintgraf19a.html) ,
by *Zintgraf, Luisa, Shiarli, Kyriacos, Kurin, Vitaly, Hofmann, Katja and Whiteson, Shimon* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2214-L2223)```pmlr-v97-zintgraf19a```
- [![](https://img.shields.io/badge/ICML-2018-green)](http://proceedings.mlr.press/v80/zhao18c.html) [**MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning**](http://proceedings.mlr.press/v80/zhao18c.html) ,
by *Zhao, Bo, Sun, Xinwei, Fu, Yanwei, Yao, Yuan and Wang, Yizhou* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2226-L2233)```pmlr-v80-zhao18c```
- [![](https://img.shields.io/badge/ICML-2018-green)](http://proceedings.mlr.press/v80/amit18a.html) [**Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory**](http://proceedings.mlr.press/v80/amit18a.html) ,
by *Amit, Ron and Meir, Ron* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2236-L2243)```pmlr-v80-amit18a```
- [![](https://img.shields.io/badge/ICML-2018-green)](http://proceedings.mlr.press/v80/franceschi18a.html) [**Bilevel Programming for Hyperparameter Optimization and Meta-Learning**](http://proceedings.mlr.press/v80/franceschi18a.html) ,
by *Franceschi, Luca, Frasconi, Paolo, Salzo, Saverio, Grazzi, Riccardo and Pontil, Massimiliano* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2246-L2253)```pmlr-v80-franceschi18a```
- [![](https://img.shields.io/badge/ICML-2018-green)](http://proceedings.mlr.press/v80/lee18a.html) [**Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace**](http://proceedings.mlr.press/v80/lee18a.html) ,
by *Lee, Yoonho and Choi, Seungjin* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2256-L2263)```pmlr-v80-lee18a```
- [![](https://img.shields.io/badge/ICML-2017-green)](http://proceedings.mlr.press/v70/finn17a.html) [**Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks**](http://proceedings.mlr.press/v70/finn17a.html) ,
by *Chelsea Finn, Pieter Abbeel and Sergey Levine* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2266-L2273)```pmlr-v70-finn17a```
- [![](https://img.shields.io/badge/ICML-2017-green)](http://proceedings.mlr.press/v70/munkhdalai17a.html) [**Meta Networks**](http://proceedings.mlr.press/v70/munkhdalai17a.html) ,
by *Tsendsuren Munkhdalai and Hong Yu* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2275-L2282)```pmlr-v70-munkhdalai17a```
## ICLR- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=ek9a0qIafW) [**Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners**](https://openreview.net/forum?id=ek9a0qIafW) ,
by *Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang and Huajun Chen* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L592-L598)```zhang2022differentiable```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=V3C8p78sDa) [**Exploring the Limits of Large Scale Pre-training**](https://openreview.net/forum?id=V3C8p78sDa) ,
by *Samira Abnar, Mostafa Dehghani, Behnam Neyshabur and Hanie Sedghi* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L601-L607)```abnar2022exploring```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=boJy41J-tnQ) [**Subspace Regularizers for Few-Shot Class Incremental Learning**](https://openreview.net/forum?id=boJy41J-tnQ) ,
by *Afra Feyza Aky{\"u}rek, Ekin Aky{\"u}rek, Derry Wijaya and Jacob Andreas* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L610-L616)```akyurek2022subspace```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=u2GZOiUTbt) [**Task Affinity with Maximum Bipartite Matching in Few-Shot Learning**](https://openreview.net/forum?id=u2GZOiUTbt) ,
by *Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani and Vahid Tarokh* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L619-L625)```le2022task```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=DNRADop4ksB) [**On the Importance of Firth Bias Reduction in Few-Shot Classification**](https://openreview.net/forum?id=DNRADop4ksB) ,
by *Saba Ghaffari, Ehsan Saleh, David Forsyth and Yu-Xiong Wang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L628-L634)```ghaffari2022on```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=H-iABMvzIc) [**Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification**](https://openreview.net/forum?id=H-iABMvzIc) ,
by *Zhengdong Hu, Yifan Sun and Yi Yang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L637-L643)```hu2022switch```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=HCRVf71PMF) [**LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5**](https://openreview.net/forum?id=HCRVf71PMF) ,
by *Chengwei Qin and Shafiq Joty* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L646-L652)```qin2022lfpt```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=xKZ4K0lTj_) [**Hierarchical Few-Shot Imitation with Skill Transition Models**](https://openreview.net/forum?id=xKZ4K0lTj_) ,
by *Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel and Michael Laskin* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L655-L661)```hakhamaneshi2022hierarchical```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=zRJu6mU2BaE) [**ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning**](https://openreview.net/forum?id=zRJu6mU2BaE) ,
by *Debasmit Das, Sungrack Yun and Fatih Porikli* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L664-L670)```das2022confess```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=i3RI65sR7N) [**Hierarchical Variational Memory for Few-shot Learning Across Domains**](https://openreview.net/forum?id=i3RI65sR7N) ,
by *Yingjun Du, Xiantong Zhen, Ling Shao and Cees G. M. Snoek* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L673-L679)```du2022hierarchical```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=p3DKPQ7uaAi) [**Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification**](https://openreview.net/forum?id=p3DKPQ7uaAi) ,
by *Bing Su and Ji-Rong Wen* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L682-L688)```su2022temporal```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=_jMtny3sMKU) [**Generalizing Few-Shot NAS with Gradient Matching**](https://openreview.net/forum?id=_jMtny3sMKU) ,
by *Shoukang Hu, Ruochen Wang, Lanqing HONG, Zhenguo Li, Cho-Jui Hsieh and Jiashi Feng* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L691-L697)```hu2022generalizing```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=6kCiVaoQdx9) [**Few-shot Learning via Dirichlet Tessellation Ensemble**](https://openreview.net/forum?id=6kCiVaoQdx9) ,
by *Chunwei Ma, Ziyun Huang, Mingchen Gao and Jinhui Xu* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L700-L706)```ma2022fewshot```
- [![](https://img.shields.io/badge/ICLR-2022-green)](https://openreview.net/forum?id=49h_IkpJtaE) [**How to Train Your MAML to Excel in Few-Shot Classification**](https://openreview.net/forum?id=49h_IkpJtaE) ,
by *Han-Jia Ye and Wei-Lun Chao* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L709-L715)```ye2022how```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=JWOiYxMG92s) [**Free Lunch for Few-shot Learning: Distribution Calibration**](https://openreview.net/forum?id=JWOiYxMG92s) ,
by *Shuo Yang, Lu Liu and Min Xu* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1953-L1959)```yang2021free```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=O3Y56aqpChA) [**Self-training For Few-shot Transfer Across Extreme Task Differences**](https://openreview.net/forum?id=O3Y56aqpChA) ,
by *Cheng Perng Phoo and Bharath Hariharan* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1962-L1968)```phoo2021selftraining```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=oZIvHV04XgC) [**Wandering within a world: Online contextualized few-shot learning**](https://openreview.net/forum?id=oZIvHV04XgC) ,
by *Mengye Ren, Michael Louis Iuzzolino, Michael Curtis Mozer and Richard Zemel* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1971-L1977)```ren2021wandering```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=pW2Q2xLwIMD) [**Few-Shot Learning via Learning the Representation, Provably**](https://openreview.net/forum?id=pW2Q2xLwIMD) ,
by *Simon Shaolei Du, Wei Hu, Sham M. Kakade, Jason D. Lee and Qi Lei* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1980-L1986)```du2021fewshot```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=04cII6MumYV) [**A Universal Representation Transformer Layer for Few-Shot Image Classification**](https://openreview.net/forum?id=04cII6MumYV) ,
by *Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang and Hugo Larochelle* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1989-L1995)```liu2021a```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=cO1IH43yUF) [**Revisiting Few-sample \BERT\ Fine-tuning**](https://openreview.net/forum?id=cO1IH43yUF) ,
by *Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q Weinberger and Yoav Artzi* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1998-L2004)```zhang2021revisiting```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=eJIJF3-LoZO) [**Concept Learners for Few-Shot Learning**](https://openreview.net/forum?id=eJIJF3-LoZO) ,
by *Kaidi Cao, Maria Brbic and Jure Leskovec* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2007-L2013)```cao2021concept```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=de11dbHzAMF) [**Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in \NLP\ Using Fewer Parameters \& Less Data**](https://openreview.net/forum?id=de11dbHzAMF) ,
by *Jonathan Pilault, Amine El hattami and Christopher Pal* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2016-L2022)```pilault2021conditionally```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=3SV-ZePhnZM) [**Incremental few-shot learning via vector quantization in deep embedded space**](https://openreview.net/forum?id=3SV-ZePhnZM) ,
by *Kuilin Chen and Chi-Guhn Lee* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2025-L2031)```chen2021incremental```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=qkLMTphG5-h) [**Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning**](https://openreview.net/forum?id=qkLMTphG5-h) ,
by *Namyeong Kwon, Hwidong Na, Gabriel Huang and Simon Lacoste-Julien* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2034-L2040)```kwon2021repurposing```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=D3PcGLdMx0) [**\MELR\: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning**](https://openreview.net/forum?id=D3PcGLdMx0) ,
by *Nanyi Fei, Zhiwu Lu, Tao Xiang and Songfang Huang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2043-L2049)```fei2021melr```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=-Lr-u0b42he) [**Disentangling 3D Prototypical Networks for Few-Shot Concept Learning**](https://openreview.net/forum?id=-Lr-u0b42he) ,
by *Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W Harley and Katerina Fragkiadaki* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2052-L2058)```prabhudesai2021disentangling```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=vujTf_I8Kmc) [**Attentional Constellation Nets for Few-Shot Learning**](https://openreview.net/forum?id=vujTf_I8Kmc) ,
by *Weijian Xu, yifan xu, Huaijin Wang and Zhuowen Tu* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2061-L2067)```xu2021attentional```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=umIdUL8rMH) [**\BOIL\: Towards Representation Change for Few-shot Learning**](https://openreview.net/forum?id=umIdUL8rMH) ,
by *Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim and Se-Young Yun* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2070-L2076)```oh2021boil```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=SZ3wtsXfzQR) [**Theoretical bounds on estimation error for meta-learning**](https://openreview.net/forum?id=SZ3wtsXfzQR) ,
by *James Lucas, Mengye Ren, Irene Raissa KAMENI KAMENI, Toniann Pitassi and Richard Zemel* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2079-L2085)```lucas2021theoretical```
- [![](https://img.shields.io/badge/ICLR-2021-green)](https://openreview.net/forum?id=--gvHfE3Xf5) [**Meta-Learning of Structured Task Distributions in Humans and Machines**](https://openreview.net/forum?id=--gvHfE3Xf5) ,
by *Sreejan Kumar, Ishita Dasgupta, Jonathan Cohen, Nathaniel Daw and Thomas Griffiths* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2088-L2094)```kumar2021metalearning```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=rklp93EtwH) [**Automated Relational Meta-learning**](https://openreview.net/forum?id=rklp93EtwH) ,
by *Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li and Zhenhui Li* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2285-L2291)```Yao2020Automated```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=rkgAGAVKPr) [**Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples**](https://openreview.net/forum?id=rkgAGAVKPr) ,
by *Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol and Hugo Larochelle* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2304-L2310)```Triantafillou2020Meta-Dataset```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=r1eowANFvr) [**Towards Fast Adaptation of Neural Architectures with Meta Learning**](https://openreview.net/forum?id=r1eowANFvr) ,
by *Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang and Shenghua Gao* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2314-L2320)```Lian2020Towards```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=Bkxv90EKPB) [**Bayesian Meta Sampling for Fast Uncertainty Adaptation**](https://openreview.net/forum?id=Bkxv90EKPB) ,
by *Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang and Changyou Chen* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2324-L2330)```Wang2020Bayesian```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=BklEFpEYwS) [**Meta-Learning without Memorization**](https://openreview.net/forum?id=BklEFpEYwS) ,
by *Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine and Chelsea Finn* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2334-L2340)```Yin2020Meta-Learning```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=ryeYpJSKwr) [**Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization**](https://openreview.net/forum?id=ryeYpJSKwr) ,
by *Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter and Christian Daniel* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2343-L2349)```Volpp2020Meta-Learning```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=rkeZIJBYvr) [**Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks**](https://openreview.net/forum?id=rkeZIJBYvr) ,
by *Hae Beom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang and Sung Ju Hwang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2352-L2358)```Lee2020Learning```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=H1emfT4twB) [**Few-shot Text Classification with Distributional Signatures**](https://openreview.net/forum?id=H1emfT4twB) ,
by *Yujia Bao, Menghua Wu, Shiyu Chang and Regina Barzilay* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2362-L2368)```Bao2020Few-shot```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=SygagpEKwB) [**Disentangling Factors of Variations Using Few Labels**](https://openreview.net/forum?id=SygagpEKwB) ,
by *Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf and Olivier Bachem* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2371-L2377)```Locatello2020Disentangling```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=Bkeeca4Kvr) [**FEW-SHOT LEARNING ON GRAPHS VIA SUPER-CLASSES BASED ON GRAPH SPECTRAL MEASURES**](https://openreview.net/forum?id=Bkeeca4Kvr) ,
by *Jatin Chauhan, Deepak Nathani and Manohar Kaul* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2380-L2386)```Chauhan2020FEW-SHOT```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=HkgB2TNYPS) [**A Theoretical Analysis of the Number of Shots in Few-Shot Learning**](https://openreview.net/forum?id=HkgB2TNYPS) ,
by *Tianshi Cao, Marc T Law and Sanja Fidler* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2389-L2395)```Cao2020A```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=rylXBkrYDS) [**A Baseline for Few-Shot Image Classification**](https://openreview.net/forum?id=rylXBkrYDS) ,
by *Guneet Singh Dhillon, Pratik Chaudhari, Avinash Ravichandran and Stefano Soatto* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2398-L2404)```Dhillon2020A```
- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=SJl5Np4tPr) [**Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation**](https://openreview.net/forum?id=SJl5Np4tPr) ,
by *Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang and Ming-Hsuan Yang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2407-L2413)```Tseng2020Cross-Domain```
- [![](https://img.shields.io/badge/ICLR-2019-green)](https://openreview.net/forum?id=ByeSdsC9Km) [**Adaptive Posterior Learning: few-shot learning with a surprise-based memory module**](https://openreview.net/forum?id=ByeSdsC9Km) ,
by *Tiago Ramalho and Marta Garnelo* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2416-L2422)```ramalho2018adaptive```
- [![](https://img.shields.io/badge/ICLR-2019-green)](https://openreview.net/forum?id=HkxLXnAcFQ) [**A Closer Look at Few-shot Classification**](https://openreview.net/forum?id=HkxLXnAcFQ) ,
by *Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang and Jia-Bin Huang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2425-L2431)```chen2018a```
- [![](https://img.shields.io/badge/ICLR-2019-green)](https://openreview.net/forum?id=SyVuRiC5K7) [**LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING**](https://openreview.net/forum?id=SyVuRiC5K7) ,
by *Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sungju Hwang and Yi Yang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2434-L2440)```liu2018learning```
- [![](https://img.shields.io/badge/ICLR-2019-green)](https://openreview.net/forum?id=HygBZnRctX) [**Transferring Knowledge across Learning Processes**](https://openreview.net/forum?id=HygBZnRctX) ,
by *Sebastian Flennerhag, Pablo Garcia Moreno, Neil Lawrence and Andreas Damianou* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2443-L2449)```flennerhag2018transferring```
- [![](https://img.shields.io/badge/ICLR-2019-green)](https://openreview.net/forum?id=HkxStoC5F7) [**Meta-Learning Probabilistic Inference for Prediction**](https://openreview.net/forum?id=HkxStoC5F7) ,
by *Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin and Richard Turner* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2452-L2458)```gordon2018metalearning```
- [![](https://img.shields.io/badge/ICLR-2019-green)](https://openreview.net/forum?id=BJfOXnActQ) [**Learning to Learn with Conditional Class Dependencies**](https://openreview.net/forum?id=BJfOXnActQ) ,
by *Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados and Stan Matwin* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2461-L2467)```jiang2018learning```
- [![](https://img.shields.io/badge/ICLR-2018-green)](https://openreview.net/forum?id=r1wEFyWCW) [**Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions**](https://openreview.net/forum?id=r1wEFyWCW) ,
by *Scott Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo Rezende, Oriol Vinyals and Nando de Freitas* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2470-L2476)```reed2018fewshot```
- [![](https://img.shields.io/badge/ICLR-2018-green)](https://openreview.net/forum?id=BJj6qGbRW) [**Few-Shot Learning with Graph Neural Networks**](https://openreview.net/forum?id=BJj6qGbRW) ,
by *Victor Garcia Satorras and Joan Bruna Estrach* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2479-L2485)```garcia2018fewshot```
- [![](https://img.shields.io/badge/ICLR-2018-green)](https://openreview.net/forum?id=HJcSzz-CZ) [**Meta-Learning for Semi-Supervised Few-Shot Classification**](https://openreview.net/forum?id=HJcSzz-CZ) ,
by *Mengye Ren, Sachin Ravi, Eleni Triantafillou, Jake Snell, Kevin Swersky, Josh B. Tenenbaum, Hugo Larochelle and Richard S. Zemel* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2488-L2494)```ren2018metalearning```
- [![](https://img.shields.io/badge/ICLR-2018-green)](https://openreview.net/forum?id=HyjC5yWCW) [**Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm**](https://openreview.net/forum?id=HyjC5yWCW) ,
by *Chelsea Finn and Sergey Levine* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2497-L2503)```finn2018metalearning```
- [![](https://img.shields.io/badge/ICLR-2018-green)](https://openreview.net/forum?id=SyX0IeWAW) [**META LEARNING SHARED HIERARCHIES**](https://openreview.net/forum?id=SyX0IeWAW) ,
by *Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel and John Schulman* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2506-L2512)```frans2018meta```
- [![](https://img.shields.io/badge/ICLR-2017-green)](https://openreview.net/forum?id=rJY0-Kcll) [**Optimization as a Model for Few-Shot Learning**](https://openreview.net/forum?id=rJY0-Kcll) ,
by *Sachin Ravi and
Hugo Larochelle* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2514-L2521)```RaviL17```
## NeurIPS- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/4d7a968bb636e25818ff2a3941db08c1-Abstract.html) [**Realistic evaluation of transductive few-shot learning**](https://proceedings.neurips.cc/paper/2021/hash/4d7a968bb636e25818ff2a3941db08c1-Abstract.html) ,
by *Olivier Veilleux and
Malik Boudiaf and
Pablo Piantanida and
Ismail Ben Ayed* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L717-L727)```VeilleuxBPA21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/d9fc0cdb67638d50f411432d0d41d0ba-Abstract.html) [**Re-ranking for image retrieval and transductive few-shot classification**](https://proceedings.neurips.cc/paper/2021/hash/d9fc0cdb67638d50f411432d0d41d0ba-Abstract.html) ,
by *Xi Shen and
Yang Xiao and
Shell Xu Hu and
Othman Sbai and
Mathieu Aubry* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L729-L740)```ShenXHSA21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/5c04925674920eb58467fb52ce4ef728-Abstract.html) [**True Few-Shot Learning with Language Models**](https://proceedings.neurips.cc/paper/2021/hash/5c04925674920eb58467fb52ce4ef728-Abstract.html) ,
by *Ethan Perez and
Douwe Kiela and
Kyunghyun Cho* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L744-L753)```PerezKC21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/33a854e247155d590883b93bca53848a-Abstract.html) [**Grad2Task: Improved Few-shot Text Classification Using Gradients for
Task Representation**](https://proceedings.neurips.cc/paper/2021/hash/33a854e247155d590883b93bca53848a-Abstract.html) ,
by *Jixuan Wang and
Kuan{-}Chieh Wang and
Frank Rudzicz and
Michael Brudno* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L755-L766)```WangWRB21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/682e0e796084e163c5ca053dd8573b0c-Abstract.html) [**D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation**](https://proceedings.neurips.cc/paper/2021/hash/682e0e796084e163c5ca053dd8573b0c-Abstract.html) ,
by *Abhishek Sinha and
Jiaming Song and
Chenlin Meng and
Stefano Ermon* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L768-L778)```SinhaSME21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/af5d5ef24881f3c3049a7b9bfe74d58b-Abstract.html) [**TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation**](https://proceedings.neurips.cc/paper/2021/hash/af5d5ef24881f3c3049a7b9bfe74d58b-Abstract.html) ,
by *Haoang Chi and
Feng Liu and
Wenjing Yang and
Long Lan and
Tongliang Liu and
Bo Han and
William K. Cheung and
James T. Kwok* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L780-L794)```ChiLYLLHCK21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/e3b6fb0fd4df098162eede3313c54a8d-Abstract.html) [**The Role of Global Labels in Few-Shot Classification and How to Infer
Them**](https://proceedings.neurips.cc/paper/2021/hash/e3b6fb0fd4df098162eede3313c54a8d-Abstract.html) ,
by *Ruohan Wang and
Massimiliano Pontil and
Carlo Ciliberto* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L796-L806)```WangPC21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/1d6408264d31d453d556c60fe7d0459e-Abstract.html) [**Dynamic Distillation Network for Cross-Domain Few-Shot Recognition
with Unlabeled Data**](https://proceedings.neurips.cc/paper/2021/hash/1d6408264d31d453d556c60fe7d0459e-Abstract.html) ,
by *Ashraful Islam and
Chun{-}Fu (Richard) Chen and
Rameswar Panda and
Leonid Karlinsky and
Rog{\'{e}}rio Feris and
Richard J. Radke* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L808-L821)```IslamCPKFR21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/6e2713a6efee97bacb63e52c54f0ada0-Abstract.html) [**Learning to Learn Dense Gaussian Processes for Few-Shot Learning**](https://proceedings.neurips.cc/paper/2021/hash/6e2713a6efee97bacb63e52c54f0ada0-Abstract.html) ,
by *Ze Wang and
Zichen Miao and
Xiantong Zhen and
Qiang Qiu* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L823-L834)```WangMZQ21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/6cfe0e6127fa25df2a0ef2ae1067d915-Abstract.html) [**Rectifying the Shortcut Learning of Background for Few-Shot Learning**](https://proceedings.neurips.cc/paper/2021/hash/6cfe0e6127fa25df2a0ef2ae1067d915-Abstract.html) ,
by *Xu Luo and
Longhui Wei and
Liangjian Wen and
Jinrong Yang and
Lingxi Xie and
Zenglin Xu and
Qi Tian* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L836-L849)```LuoWWYXXT21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/8493eeaccb772c0878f99d60a0bd2bb3-Abstract.html) [**FLEX: Unifying Evaluation for Few-Shot NLP**](https://proceedings.neurips.cc/paper/2021/hash/8493eeaccb772c0878f99d60a0bd2bb3-Abstract.html) ,
by *Jonathan Bragg and
Arman Cohan and
Kyle Lo and
Iz Beltagy* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L851-L861)```BraggCLB21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/01b7575c38dac42f3cfb7d500438b875-Abstract.html) [**Multimodal Few-Shot Learning with Frozen Language Models**](https://proceedings.neurips.cc/paper/2021/hash/01b7575c38dac42f3cfb7d500438b875-Abstract.html) ,
by *Maria Tsimpoukelli and
Jacob Menick and
Serkan Cabi and
S. M. Ali Eslami and
Oriol Vinyals and
Felix Hill* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L863-L875)```TsimpoukelliMCE21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/cdfa4c42f465a5a66871587c69fcfa34-Abstract.html) [**On Episodes, Prototypical Networks, and Few-Shot Learning**](https://proceedings.neurips.cc/paper/2021/hash/cdfa4c42f465a5a66871587c69fcfa34-Abstract.html) ,
by *Steinar Laenen and
Luca Bertinetto* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L877-L885)```LaenenB21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/c91591a8d461c2869b9f535ded3e213e-Abstract.html) [**POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution
Samples**](https://proceedings.neurips.cc/paper/2021/hash/c91591a8d461c2869b9f535ded3e213e-Abstract.html) ,
by *Duong H. Le and
Khoi Duc Nguyen and
Khoi Nguyen and
Quoc{-}Huy Tran and
Rang Nguyen and
Binh{-}Son Hua* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L887-L900)```LeNNTNH21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://proceedings.neurips.cc/paper/2021/hash/357cfba15668cc2e1e73111e09d54383-Abstract.html) [**Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning
by Finding Flat Minima**](https://proceedings.neurips.cc/paper/2021/hash/357cfba15668cc2e1e73111e09d54383-Abstract.html) ,
by *Guangyuan Shi and
Jiaxin Chen and
Wenlong Zhang and
Li{-}Ming Zhan and
Xiao{-}Ming Wu* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L902-L914)```ShiCZZW21```
- [![](https://img.shields.io/badge/NeurIPS-2021-green)](https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/3644a684f98ea8fe223c713b77189a77-Abstract-round2.html) [**Few-Shot Learning Evaluation in Natural Language Understanding**](https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/3644a684f98ea8fe223c713b77189a77-Abstract-round2.html) ,
by *Subhabrata Mukherjee and
Xiaodong Liu and
Guoqing Zheng and
Saghar Hosseini and
Saghar Hosseini and
Hao Cheng and
Ge Yang and
Christopher Meek and
Ahmed Hassan Awadallah and
Jianfeng Gao* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1079-L1094)```MukherjeeLZHH0Y21```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/0663a4ddceacb40b095eda264a85f15c-Abstract.html) [**Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph
Link Prediction**](https://proceedings.neurips.cc/paper/2020/hash/0663a4ddceacb40b095eda264a85f15c-Abstract.html) ,
by *Jinheon Baek and
Dong Bok Lee and
Sung Ju Hwang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2523-L2532)```BaekLH20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/196f5641aa9dc87067da4ff90fd81e7b-Abstract.html) [**Information Maximization for Few-Shot Learning**](https://proceedings.neurips.cc/paper/2020/hash/196f5641aa9dc87067da4ff90fd81e7b-Abstract.html) ,
by *Malik Boudiaf and
Imtiaz Masud Ziko and
J{\'{e}}r{\^{o}}me Rony and
Jose Dolz and
Pablo Piantanida and
Ismail Ben Ayed* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2534-L2545)```BoudiafZRDPA20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/1cc8a8ea51cd0adddf5dab504a285915-Abstract.html) [**Interventional Few-Shot Learning**](https://proceedings.neurips.cc/paper/2020/hash/1cc8a8ea51cd0adddf5dab504a285915-Abstract.html) ,
by *Zhongqi Yue and
Hanwang Zhang and
Qianru Sun and
Xian{-}Sheng Hua* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2547-L2556)```YueZS020```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/240ac9371ec2671ae99847c3ae2e6384-Abstract.html) [**Restoring Negative Information in Few-Shot Object Detection**](https://proceedings.neurips.cc/paper/2020/hash/240ac9371ec2671ae99847c3ae2e6384-Abstract.html) ,
by *Yukuan Yang and
Fangyun Wei and
Miaojing Shi and
Guoqi Li* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2558-L2567)```YangWSL20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/28e209b61a52482a0ae1cb9f5959c792-Abstract.html) [**OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection
and Classification**](https://proceedings.neurips.cc/paper/2020/hash/28e209b61a52482a0ae1cb9f5959c792-Abstract.html) ,
by *Taewon Jeong and
Heeyoung Kim* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2569-L2577)```JeongK20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/b6d767d2f8ed5d21a44b0e5886680cb9-Abstract.html) [**Few-shot Image Generation with Elastic Weight Consolidation**](https://proceedings.neurips.cc/paper/2020/hash/b6d767d2f8ed5d21a44b0e5886680cb9-Abstract.html) ,
by *Yijun Li and
Richard Zhang and
Jingwan Lu and
Eli Shechtman* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2580-L2589)```Li0LS20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/c055dcc749c2632fd4dd806301f05ba6-Abstract.html) [**Node Classification on Graphs with Few-Shot Novel Labels via Meta
Transformed Network Embedding**](https://proceedings.neurips.cc/paper/2020/hash/c055dcc749c2632fd4dd806301f05ba6-Abstract.html) ,
by *Lin Lan and
Pinghui Wang and
Xuefeng Du and
Kaikai Song and
Jing Tao and
Xiaohong Guan* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2592-L2604)```LanWDSTG20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/c39e1a03859f9ee215bc49131d0caf33-Abstract.html) [**Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning**](https://proceedings.neurips.cc/paper/2020/hash/c39e1a03859f9ee215bc49131d0caf33-Abstract.html) ,
by *Youngsung Kim and
Jinwoo Shin and
Eunho Yang and
Sung Ju Hwang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2606-L2615)```KimSYH20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/cfee398643cbc3dc5eefc89334cacdc1-Abstract.html) [**Adversarially Robust Few-Shot Learning: A Meta-Learning Approach**](https://proceedings.neurips.cc/paper/2020/hash/cfee398643cbc3dc5eefc89334cacdc1-Abstract.html) ,
by *Micah Goldblum and
Liam Fowl and
Tom Goldstein* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2617-L2625)```GoldblumFG20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/f23d125da1e29e34c552f448610ff25f-Abstract.html) [**Uncertainty-aware Self-training for Few-shot Text Classification**](https://proceedings.neurips.cc/paper/2020/hash/f23d125da1e29e34c552f448610ff25f-Abstract.html) ,
by *Subhabrata Mukherjee and
Ahmed Hassan Awadallah* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2627-L2634)```MukherjeeA20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/0415740eaa4d9decbc8da001d3fd805f-Abstract.html) [**A Closer Look at the Training Strategy for Modern Meta-Learning**](https://proceedings.neurips.cc/paper/2020/hash/0415740eaa4d9decbc8da001d3fd805f-Abstract.html) ,
by *Jiaxin Chen and
Xiao{-}Ming Wu and
Yanke Li and
Qimai Li and
Li{-}Ming Zhan and
Fu{-}Lai Chung* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2637-L2648)```ChenWLLZC20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/0a716fe8c7745e51a3185fc8be6ca23a-Abstract.html) [**The Advantage of Conditional Meta-Learning for Biased Regularization
and Fine Tuning**](https://proceedings.neurips.cc/paper/2020/hash/0a716fe8c7745e51a3185fc8be6ca23a-Abstract.html) ,
by *Giulia Denevi and
Massimiliano Pontil and
Carlo Ciliberto* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2650-L2659)```DeneviPC20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/1b69ebedb522700034547abc5652ffac-Abstract.html) [**Structured Prediction for Conditional Meta-Learning**](https://proceedings.neurips.cc/paper/2020/hash/1b69ebedb522700034547abc5652ffac-Abstract.html) ,
by *Ruohan Wang and
Yiannis Demiris and
Carlo Ciliberto* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2661-L2669)```WangDC20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/2ba61cc3a8f44143e1f2f13b2b729ab3-Abstract.html) [**Balanced Meta-Softmax for Long-Tailed Visual Recognition**](https://proceedings.neurips.cc/paper/2020/hash/2ba61cc3a8f44143e1f2f13b2b729ab3-Abstract.html) ,
by *Jiawei Ren and
Cunjun Yu and
Shunan Sheng and
Xiao Ma and
Haiyu Zhao and
Shuai Yi and
Hongsheng Li* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2672-L2684)```RenYSMZYL20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/3e5190eeb51ebe6c5bbc54ee8950c548-Abstract.html) [**Meta-Learning Requires Meta-Augmentation**](https://proceedings.neurips.cc/paper/2020/hash/3e5190eeb51ebe6c5bbc54ee8950c548-Abstract.html) ,
by *Janarthanan Rajendran and
Alexander Irpan and
Eric Jang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2686-L2694)```RajendranIJ20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/438124b4c06f3a5caffab2c07863b617-Abstract.html) [**Meta-learning from Tasks with Heterogeneous Attribute Spaces**](https://proceedings.neurips.cc/paper/2020/hash/438124b4c06f3a5caffab2c07863b617-Abstract.html) ,
by *Tomoharu Iwata and
Atsutoshi Kumagai* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2696-L2703)```IwataK20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/4b86ca48d90bd5f0978afa3a012503a4-Abstract.html) [**Online Structured Meta-learning**](https://proceedings.neurips.cc/paper/2020/hash/4b86ca48d90bd5f0978afa3a012503a4-Abstract.html) ,
by *Huaxiu Yao and
Yingbo Zhou and
Mehrdad Mahdavi and
Zhenhui Li and
Richard Socher and
Caiming Xiong* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2705-L2716)```YaoZMLSX20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/7fc63ff01769c4fa7d9279e97e307829-Abstract.html) [**Modeling and Optimization Trade-off in Meta-learning**](https://proceedings.neurips.cc/paper/2020/hash/7fc63ff01769c4fa7d9279e97e307829-Abstract.html) ,
by *Katelyn Gao and
Ozan Sener* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2729-L2736)```GaoS20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/84c578f202616448a2f80e6f56d5f16d-Abstract.html) [**Convergence of Meta-Learning with Task-Specific Adaptation over Partial
Parameters**](https://proceedings.neurips.cc/paper/2020/hash/84c578f202616448a2f80e6f56d5f16d-Abstract.html) ,
by *Kaiyi Ji and
Jason D. Lee and
Yingbin Liang and
H. Vincent Poor* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2738-L2748)```JiLLP20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/8989e07fc124e7a9bcbdebcc8ace2bc0-Abstract.html) [**MATE: Plugging in Model Awareness to Task Embedding for Meta Learning**](https://proceedings.neurips.cc/paper/2020/hash/8989e07fc124e7a9bcbdebcc8ace2bc0-Abstract.html) ,
by *Xiaohan Chen and
Zhangyang Wang and
Siyu Tang and
Krikamol Muandet* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2750-L2759)```ChenWTM20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/cc3f5463bc4d26bc38eadc8bcffbc654-Abstract.html) [**Continuous Meta-Learning without Tasks**](https://proceedings.neurips.cc/paper/2020/hash/cc3f5463bc4d26bc38eadc8bcffbc654-Abstract.html) ,
by *James Harrison and
Apoorva Sharma and
Chelsea Finn and
Marco Pavone* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2761-L2770)```HarrisonSFP20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/da8ce53cf0240070ce6c69c48cd588ee-Abstract.html) [**Task-Robust Model-Agnostic Meta-Learning**](https://proceedings.neurips.cc/paper/2020/hash/da8ce53cf0240070ce6c69c48cd588ee-Abstract.html) ,
by *Liam Collins and
Aryan Mokhtari and
Sanjay Shakkottai* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2772-L2780)```CollinsMS20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/ee89223a2b625b5152132ed77abbcc79-Abstract.html) [**Meta-Learning with Adaptive Hyperparameters**](https://proceedings.neurips.cc/paper/2020/hash/ee89223a2b625b5152132ed77abbcc79-Abstract.html) ,
by *Sungyong Baik and
Myungsub Choi and
Janghoon Choi and
Heewon Kim and
Kyoung Mu Lee* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2782-L2792)```BaikCCKL20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/ef0d17b3bdb4ee2aa741ba28c7255c53-Abstract.html) [**Probabilistic Active Meta-Learning**](https://proceedings.neurips.cc/paper/2020/hash/ef0d17b3bdb4ee2aa741ba28c7255c53-Abstract.html) ,
by *Jean Kaddour and
Steind{\'{o}}r S{\ae}mundsson and
Marc Peter Deisenroth* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2794-L2802)```KaddourSD20```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/67d16d00201083a2b118dd5128dd6f59-Abstract.html) [**Learning to Learn Variational Semantic Memory**](https://proceedings.neurips.cc/paper/2020/hash/67d16d00201083a2b118dd5128dd6f59-Abstract.html) ,
by *Xiantong Zhen and
Ying{-}Jun Du and
Huan Xiong and
Qiang Qiu and
Cees Snoek and
Ling Shao* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2804-L2815)```ZhenDXQS020```
- [![](https://img.shields.io/badge/NeurIPS-2020-green)](https://proceedings.neurips.cc/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html) [**Language Models are Few-Shot Learners**](https://proceedings.neurips.cc/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html) ,
by *Tom B. Brown and
Benjamin Mann and
Nick Ryder and
Melanie Subbiah and
Jared Kaplan and
Prafulla Dhariwal and
Arvind Neelakantan and
Pranav Shyam and
Girish Sastry and
Amanda Askell and
Sandhini Agarwal and
Ariel Herbert{-}Voss and
Gretchen Krueger and
Tom Henighan and
Rewon Child and
Aditya Ramesh and
Daniel M. Ziegler and
Jeffrey Wu and
Clemens Winter and
Christopher Hesse and
Mark Chen and
Eric Sigler and
Mateusz Litwin and
Scott Gray and
Benjamin Chess and
Jack Clark and
Christopher Berner and
Sam McCandlish and
Alec Radford and
Ilya Sutskever and
Dario Amodei* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2994-L3030)```BrownMRSKDNSSAA20```
- [![](https://img.shields.io/badge/NeurIPS-2019-green)](https://proceedings.neurips.cc/paper/2019/hash/01894d6f048493d2cacde3c579c315a3-Abstract.html) [**Cross Attention Network for Few-shot Classification**](https://proceedings.neurips.cc/paper/2019/hash/01894d6f048493d2cacde3c579c315a3-Abstract.html) ,
by *Ruibing Hou and
Hong Chang and
Bingpeng Ma and
Shiguang Shan and
Xilin Chen* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2817-L2828)```HouCMSC19```
- [![](https://img.shields.io/badge/NeurIPS-2019-green)](https://proceedings.neurips.cc/paper/2019/hash/d790c9e6c0b5e02c87b375e782ac01bc-Abstract.html) [**Adaptive Cross-Modal Few-shot Learning**](https://proceedings.neurips.cc/paper/2019/hash/d790c9e6c0b5e02c87b375e782ac01bc-Abstract.html) ,
by *Chen Xing and
Negar Rostamzadeh and
Boris N. Oreshkin and
Pedro O. Pinheiro* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2830-L2840)```XingROP19```
- [![](https://img.shields.io/badge/NeurIPS-2019-green)](https://proceedings.neurips.cc/paper/2019/hash/fd0a5a5e367a0955d81278062ef37429-Abstract.html) [**Unsupervised Meta-Learning for Few-Shot Image Classification**](https://proceedings.neurips.cc/paper/2019/hash/fd0a5a5e367a0955d81278062ef37429-Abstract.html) ,
by *Siavash Khodadadeh and
Ladislau B{\"{o}}l{\"{o}}ni and
Mubarak Shah* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2842-L2851)```KhodadadehBS19```
- [![](https://img.shields.io/badge/NeurIPS-2019-green)](https://proceedings.neurips.cc/paper/2019/hash/bf25356fd2a6e038f1a3a59c26687e80-Abstract.html) [**Learning to Self-Train for Semi-Supervised Few-Shot Classification**](https://proceedings.neurips.cc/paper/2019/hash/bf25356fd2a6e038f1a3a59c26687e80-Abstract.html) ,
by *Xinzhe Li and
Qianru Sun and
Yaoyao Liu and
Qin Zhou and
Shibao Zheng and
Tat{-}Seng Chua and
Bernt Schiele* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2853-L2866)```LiSLZZCS19```
- [![](https://img.shields.io/badge/NeurIPS-2019-green)](https://proceedings.neurips.cc/paper/2019/hash/e4da3b7fbbce2345d7772b0674a318d5-Abstract.html) [**Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation**](https://proceedings.neurips.cc/paper/2019/hash/e4da3b7fbbce2345d7772b0674a318d5-Abstract.html) ,
by *Risto Vuorio and
Shao{-}Hua Sun and
Hexiang Hu and
Joseph J. Lim* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2868-L2878)```VuorioSHL19```
- [![](https://img.shields.io/badge/NeurIPS-2019-green)](https://proceedings.neurips.cc/paper/2019/hash/92262bf907af914b95a0fc33c3f33bf6-Abstract.html) [**Self-Supervised Generalisation with Meta Auxiliary Learning**](https://proceedings.neurips.cc/paper/2019/hash/92262bf907af914b95a0fc33c3f33bf6-Abstract.html) ,
by *Shikun Liu and
Andrew J. Davison and
Edward Johns* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2880-L2889)```LiuDJ19```
- [![](https://img.shields.io/badge/NeurIPS-2019-green)](https://proceedings.neurips.cc/paper/2019/hash/f4aa0dd960521e045ae2f20621fb4ee9-Abstract.html) [**Adaptive Gradient-Based Meta-Learning Methods**](https://proceedings.neurips.cc/paper/2019/hash/f4aa0dd960521e045ae2f20621fb4ee9-Abstract.html) ,
by *Mikhail Khodak and
Maria{-}Florina Balcan and
Ameet S. Talwalkar* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2891-L2900)```KhodakBT19```
- [![](https://img.shields.io/badge/NeurIPS-2019-green)](https://proceedings.neurips.cc/paper/2019/hash/6fe43269967adbb64ec6149852b5cc3e-Abstract.html) [**Meta Learning with Relational Information for Short Sequences**](https://proceedings.neurips.cc/paper/2019/hash/6fe43269967adbb64ec6149852b5cc3e-Abstract.html) ,
by *Yujia Xie and
Haoming Jiang and
Feng Liu and
Tuo Zhao and
Hongyuan Zha* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2902-L2913)```XieJLZZ19```
- [![](https://img.shields.io/badge/NeurIPS-2018-green)](https://proceedings.neurips.cc/paper/2018/hash/66808e327dc79d135ba18e051673d906-Abstract.html) [**TADAM: Task dependent adaptive metric for improved few-shot learning**](https://proceedings.neurips.cc/paper/2018/hash/66808e327dc79d135ba18e051673d906-Abstract.html) ,
by *Boris N. Oreshkin and
Pau Rodr{\'{\i}}guez L{\'{o}}pez and
Alexandre Lacoste* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2915-L2924)```OreshkinLL18```
- [![](https://img.shields.io/badge/NeurIPS-2018-green)](https://proceedings.neurips.cc/paper/2018/hash/b9a25e422ba96f7572089a00b838c3f8-Abstract.html) [**Learning To Learn Around A Common Mean**](https://proceedings.neurips.cc/paper/2018/hash/b9a25e422ba96f7572089a00b838c3f8-Abstract.html) ,
by *Giulia Denevi and
Carlo Ciliberto and
Dimitris Stamos and
Massimiliano Pontil* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2926-L2936)```DeneviCSP18```
- [![](https://img.shields.io/badge/NeurIPS-2018-green)](https://proceedings.neurips.cc/paper/2018/hash/81448138f5f163ccdba4acc69819f280-Abstract.html) [**Low-shot Learning via Covariance-Preserving Adversarial Augmentation
Networks**](https://proceedings.neurips.cc/paper/2018/hash/81448138f5f163ccdba4acc69819f280-Abstract.html) ,
by *Hang Gao and
Zheng Shou and
Alireza Zareian and
Hanwang Zhang and
Shih{-}Fu Chang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2938-L2950)```GaoSZZC18```
- [![](https://img.shields.io/badge/NeurIPS-2017-green)](https://proceedings.neurips.cc/paper/2017/hash/01e9565cecc4e989123f9620c1d09c09-Abstract.html) [**Few-Shot Learning Through an Information Retrieval Lens**](https://proceedings.neurips.cc/paper/2017/hash/01e9565cecc4e989123f9620c1d09c09-Abstract.html) ,
by *Eleni Triantafillou and
Richard S. Zemel and
Raquel Urtasun* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2952-L2961)```TriantafillouZU17```
- [![](https://img.shields.io/badge/NeurIPS-2017-green)](https://proceedings.neurips.cc/paper/2017/hash/cb8da6767461f2812ae4290eac7cbc42-Abstract.html) [**Prototypical Networks for Few-shot Learning**](https://proceedings.neurips.cc/paper/2017/hash/cb8da6767461f2812ae4290eac7cbc42-Abstract.html) ,
by *Jake Snell and
Kevin Swersky and
Richard S. Zemel* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2963-L2972)```SnellSZ17```
- [![](https://img.shields.io/badge/NeurIPS-2017-green)](https://proceedings.neurips.cc/paper/2017/hash/21c5bba1dd6aed9ab48c2b34c1a0adde-Abstract.html) [**Few-Shot Adversarial Domain Adaptation**](https://proceedings.neurips.cc/paper/2017/hash/21c5bba1dd6aed9ab48c2b34c1a0adde-Abstract.html) ,
by *Saeid Motiian and
Quinn Jones and
Seyed Mehdi Iranmanesh and
Gianfranco Doretto* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L2974-L2984)```MotiianJID17```
- [![](https://img.shields.io/badge/NeurIPS-2016-green)](https://proceedings.neurips.cc/paper/2016/hash/90e1357833654983612fb05e3ec9148c-Abstract.html) [**Matching Networks for One Shot Learning**](https://proceedings.neurips.cc/paper/2016/hash/90e1357833654983612fb05e3ec9148c-Abstract.html) ,
by *Oriol Vinyals and
Charles Blundell and
Tim Lillicrap and
Koray Kavukcuoglu and
Daan Wierstra* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1176-L1187)
```MatchNet
``````VinyalsBLKW16```
## AAAI- [![](https://img.shields.io/badge/AAAI-2021-green)](https://ojs.aaai.org/index.php/AAAI/article/view/17639) [**FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social
Relation Extraction**](https://ojs.aaai.org/index.php/AAAI/article/view/17639) ,
by *Hai Wan and
Manrong Zhang and
Jianfeng Du and
Ziling Huang and
Yufei Yang and
Jeff Z. Pan* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1274-L1287)
```FL-MSRE
``````WanZDHYP21```
- [![](https://img.shields.io/badge/AAAI-2020-green)](https://aaai.org/ojs/index.php/AAAI/article/view/6281) [**Neural Snowball for Few-Shot Relation Learning**](https://aaai.org/ojs/index.php/AAAI/article/view/6281) ,
by *Tianyu Gao and
Xu Han and
Ruobing Xie and
Zhiyuan Liu and
Fen Lin and
Leyu Lin and
Maosong Sun* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1377-L1390)
```Neural Snowball
``````GaoHX0LLS20```
- [![](https://img.shields.io/badge/AAAI-2019-green)](https://doi.org/10.1609/aaai.v33i01.33016407) [**Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation
Classification**](https://doi.org/10.1609/aaai.v33i01.33016407) ,
by *Tianyu Gao and
Xu Han and
Zhiyuan Liu and
Maosong Sun* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1363-L1374)
```HATT
``````GaoH0S19```
## IJCAI- [![](https://img.shields.io/badge/IJCAI-2021-green)](https://doi.org/10.24963/ijcai.2021/149) [**Cross-Domain Few-Shot Classification via Adversarial Task Augmentation**](https://doi.org/10.24963/ijcai.2021/149) ,
by *Wang, Haoqing and Deng, Zhi-Hong* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1191-L1198)```ijcai2021-149```
- [![](https://img.shields.io/badge/IJCAI-2021-green)](https://doi.org/10.24963/ijcai.2021/419) [**Self-supervised Network Evolution for Few-shot Classification**](https://doi.org/10.24963/ijcai.2021/419) ,
by *Tang, Xuwen, Teng, Zhu, Zhang, Baopeng and Fan, Jianping* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1200-L1207)```ijcai2021-419```
- [![](https://img.shields.io/badge/IJCAI-2021-green)](https://doi.org/10.24963/ijcai.2021/295) [**Conditional Self-Supervised Learning for Few-Shot Classification**](https://doi.org/10.24963/ijcai.2021/295) ,
by *An, Yuexuan, Xue, Hui, Zhao, Xingyu and Zhang, Lu* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1209-L1216)```ijcai2021-295```
- [![](https://img.shields.io/badge/IJCAI-2021-green)](https://doi.org/10.24963/ijcai.2021/475) [**Few-Shot Partial-Label Learning**](https://doi.org/10.24963/ijcai.2021/475) ,
by *Zhao, Yunfeng, Yu, Guoxian, Liu, Lei, Yan, Zhongmin, Cui, Lizhen and Domeniconi, Carlotta* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1218-L1225)```ijcai2021-475```
- [![](https://img.shields.io/badge/IJCAI-2021-green)](https://doi.org/10.24963/ijcai.2021/471) [**Uncertainty-Aware Few-Shot Image Classification**](https://doi.org/10.24963/ijcai.2021/471) ,
by *Zhang, Zhizheng, Lan, Cuiling, Zeng, Wenjun, Chen, Zhibo and Chang, Shih-Fu* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1227-L1234)```ijcai2021-471```
- [![](https://img.shields.io/badge/IJCAI-2021-green)](https://doi.org/10.24963/ijcai.2021/313) [**Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images**](https://doi.org/10.24963/ijcai.2021/313) ,
by *Chen, Wentao, Si, Chenyang, Wang, Wei, Wang, Liang, Wang, Zilei and Tan, Tieniu* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1238-L1245)```ijcai2021-313```
## SIGIR- [![](https://img.shields.io/badge/SIGIR-2021-green)](https://doi.org/10.1145/3404835.3463054) [**Graph Learning Regularization and Transfer Learning for Few-Shot Event Detection**](https://doi.org/10.1145/3404835.3463054) ,
by *Lai, Viet Dac, Nguyen, Minh Van, Nguyen, Thien Huu and Dernoncourt, Franck* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1422-L1429)```3404835.3463054```
- [![](https://img.shields.io/badge/SIGIR-2021-green)](https://doi.org/10.1145/3404835.3462995) [**Pseudo Siamese Network for Few-Shot Intent Generation**](https://doi.org/10.1145/3404835.3462995) ,
by *Xia, Congying, Xiong, Caiming and Yu, Philip* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1431-L1438)```3404835.3462995```
## KDD- [![](https://img.shields.io/badge/KDD-2021-green)](https://doi.org/10.1145/3447548.3467438) [**Knowledge-Enhanced Domain Adaptation in Few-Shot Relation Classification**](https://doi.org/10.1145/3447548.3467438) ,
by *Zhang, Jiawen, Zhu, Jiaqi, Yang, Yi, Shi, Wandong, Zhang, Congcong and Wang, Hongan* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1395-L1402)```3447548.3467438```
- [![](https://img.shields.io/badge/KDD-2021-green)](https://doi.org/10.1145/3447548.3467235) [**Meta Self-Training for Few-Shot Neural Sequence Labeling**](https://doi.org/10.1145/3447548.3467235) ,
by *Wang, Yaqing, Mukherjee, Subhabrata, Chu, Haoda, Tu, Yuancheng, Wu, Ming, Gao, Jing and Awadallah, Ahmed Hassan* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1404-L1411)```3447548.3467235```
## CVPR- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Yue_Prototypical_Cross-Domain_Self-Supervised_Learning_for_Few-Shot_Unsupervised_Domain_Adaptation_CVPR_2021_paper.html) [**Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation**](https://openaccess.thecvf.com/content/CVPR2021/html/Yue_Prototypical_Cross-Domain_Self-Supervised_Learning_for_Few-Shot_Unsupervised_Domain_Adaptation_CVPR_2021_paper.html) ,
by *Yue, Xiangyu, Zheng, Zangwei, Zhang, Shanghang, Gao, Yang, Darrell, Trevor, Keutzer, Kurt and Vincentelli, Alberto Sangiovanni* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1745-L1752)```Yue_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Zhang_Accurate_Few-Shot_Object_Detection_With_Support-Query_Mutual_Guidance_and_Hybrid_CVPR_2021_paper.html) [**Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss**](https://openaccess.thecvf.com/content/CVPR2021/html/Zhang_Accurate_Few-Shot_Object_Detection_With_Support-Query_Mutual_Guidance_and_Hybrid_CVPR_2021_paper.html) ,
by *Zhang, Lu, Zhou, Shuigeng, Guan, Jihong and Zhang, Ji* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1754-L1762)```Zhang_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Fan_Generalized_Few-Shot_Object_Detection_Without_Forgetting_CVPR_2021_paper.html) [**Generalized Few-Shot Object Detection Without Forgetting**](https://openaccess.thecvf.com/content/CVPR2021/html/Fan_Generalized_Few-Shot_Object_Detection_Without_Forgetting_CVPR_2021_paper.html) ,
by *Fan, Zhibo, Ma, Yuchen, Li, Zeming and Sun, Jian* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1764-L1771)```Fan_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Zhang_Hallucination_Improves_Few-Shot_Object_Detection_CVPR_2021_paper.html) [**Hallucination Improves Few-Shot Object Detection**](https://openaccess.thecvf.com/content/CVPR2021/html/Zhang_Hallucination_Improves_Few-Shot_Object_Detection_CVPR_2021_paper.html) ,
by *Zhang, Weilin and Wang, Yu-Xiong* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1754-L1762)```Zhang_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Zhang_Few-Shot_Incremental_Learning_With_Continually_Evolved_Classifiers_CVPR_2021_paper.html) [**Few-Shot Incremental Learning With Continually Evolved Classifiers**](https://openaccess.thecvf.com/content/CVPR2021/html/Zhang_Few-Shot_Incremental_Learning_With_Continually_Evolved_Classifiers_CVPR_2021_paper.html) ,
by *Zhang, Chi, Song, Nan, Lin, Guosheng, Zheng, Yun, Pan, Pan and Xu, Yinghui* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1754-L1762)```Zhang_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Zhang_Rethinking_Class_Relations_Absolute-Relative_Supervised_and_Unsupervised_Few-Shot_Learning_CVPR_2021_paper.html) [**Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning**](https://openaccess.thecvf.com/content/CVPR2021/html/Zhang_Rethinking_Class_Relations_Absolute-Relative_Supervised_and_Unsupervised_Few-Shot_Learning_CVPR_2021_paper.html) ,
by *Zhang, Hongguang, Koniusz, Piotr, Jian, Songlei, Li, Hongdong and Torr, Philip H. S.* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1754-L1762)```Zhang_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Zhang_Prototype_Completion_With_Primitive_Knowledge_for_Few-Shot_Learning_CVPR_2021_paper.html) [**Prototype Completion With Primitive Knowledge for Few-Shot Learning**](https://openaccess.thecvf.com/content/CVPR2021/html/Zhang_Prototype_Completion_With_Primitive_Knowledge_for_Few-Shot_Learning_CVPR_2021_paper.html) ,
by *Zhang, Baoquan, Li, Xutao, Ye, Yunming, Huang, Zhichao and Zhang, Lisai* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1754-L1762)```Zhang_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Ganea_Incremental_Few-Shot_Instance_Segmentation_CVPR_2021_paper.html) [**Incremental Few-Shot Instance Segmentation**](https://openaccess.thecvf.com/content/CVPR2021/html/Ganea_Incremental_Few-Shot_Instance_Segmentation_CVPR_2021_paper.html) ,
by *Ganea, Dan Andrei, Boom, Bas and Poppe, Ronald* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1812-L1820)```Ganea_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Boudiaf_Few-Shot_Segmentation_Without_Meta-Learning_A_Good_Transductive_Inference_Is_All_CVPR_2021_paper.html) [**Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?**](https://openaccess.thecvf.com/content/CVPR2021/html/Boudiaf_Few-Shot_Segmentation_Without_Meta-Learning_A_Good_Transductive_Inference_Is_All_CVPR_2021_paper.html) ,
by *Boudiaf, Malik, Kervadec, Hoel, Masud, Ziko Imtiaz, Piantanida, Pablo, Ben Ayed, Ismail and Dolz, Jose* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1822-L1830)```Boudiaf_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Zhu_Semantic_Relation_Reasoning_for_Shot-Stable_Few-Shot_Object_Detection_CVPR_2021_paper.html) [**Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection**](https://openaccess.thecvf.com/content/CVPR2021/html/Zhu_Semantic_Relation_Reasoning_for_Shot-Stable_Few-Shot_Object_Detection_CVPR_2021_paper.html) ,
by *Zhu, Chenchen, Chen, Fangyi, Ahmed, Uzair, Shen, Zhiqiang and Savvides, Marios* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1832-L1840)```Zhu_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Zhu_Self-Promoted_Prototype_Refinement_for_Few-Shot_Class-Incremental_Learning_CVPR_2021_paper.html) [**Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning**](https://openaccess.thecvf.com/content/CVPR2021/html/Zhu_Self-Promoted_Prototype_Refinement_for_Few-Shot_Class-Incremental_Learning_CVPR_2021_paper.html) ,
by *Zhu, Kai, Cao, Yang, Zhai, Wei, Cheng, Jie and Zha, Zheng-Jun* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1832-L1840)```Zhu_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Wertheimer_Few-Shot_Classification_With_Feature_Map_Reconstruction_Networks_CVPR_2021_paper.html) [**Few-Shot Classification With Feature Map Reconstruction Networks**](https://openaccess.thecvf.com/content/CVPR2021/html/Wertheimer_Few-Shot_Classification_With_Feature_Map_Reconstruction_Networks_CVPR_2021_paper.html) ,
by *Wertheimer, Davis, Tang, Luming and Hariharan, Bharath* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1852-L1860)```Wertheimer_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Nguyen_FAPIS_A_Few-Shot_Anchor-Free_Part-Based_Instance_Segmenter_CVPR_2021_paper.html) [**FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter**](https://openaccess.thecvf.com/content/CVPR2021/html/Nguyen_FAPIS_A_Few-Shot_Anchor-Free_Part-Based_Instance_Segmenter_CVPR_2021_paper.html) ,
by *Nguyen, Khoi and Todorovic, Sinisa* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1862-L1870)```Nguyen_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Hong_Reinforced_Attention_for_Few-Shot_Learning_and_Beyond_CVPR_2021_paper.html) [**Reinforced Attention for Few-Shot Learning and Beyond**](https://openaccess.thecvf.com/content/CVPR2021/html/Hong_Reinforced_Attention_for_Few-Shot_Learning_and_Beyond_CVPR_2021_paper.html) ,
by *Hong, Jie, Fang, Pengfei, Li, Weihao, Zhang, Tong, Simon, Christian, Harandi, Mehrtash and Petersson, Lars* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1872-L1880)```Hong_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Hu_Dense_Relation_Distillation_With_Context-Aware_Aggregation_for_Few-Shot_Object_Detection_CVPR_2021_paper.html) [**Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection**](https://openaccess.thecvf.com/content/CVPR2021/html/Hu_Dense_Relation_Distillation_With_Context-Aware_Aggregation_for_Few-Shot_Object_Detection_CVPR_2021_paper.html) ,
by *Hu, Hanzhe, Bai, Shuai, Li, Aoxue, Cui, Jinshi and Wang, Liwei* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1882-L1890)```Hu_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Jeong_Few-Shot_Open-Set_Recognition_by_Transformation_Consistency_CVPR_2021_paper.html) [**Few-Shot Open-Set Recognition by Transformation Consistency**](https://openaccess.thecvf.com/content/CVPR2021/html/Jeong_Few-Shot_Open-Set_Recognition_by_Transformation_Consistency_CVPR_2021_paper.html) ,
by *Jeong, Minki, Choi, Seokeon and Kim, Changick* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1892-L1900)```Jeong_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Xu_Learning_Dynamic_Alignment_via_Meta-Filter_for_Few-Shot_Learning_CVPR_2021_paper.html) [**Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning**](https://openaccess.thecvf.com/content/CVPR2021/html/Xu_Learning_Dynamic_Alignment_via_Meta-Filter_for_Few-Shot_Learning_CVPR_2021_paper.html) ,
by *Xu, Chengming, Fu, Yanwei, Liu, Chen, Wang, Chengjie, Li, Jilin, Huang, Feiyue, Zhang, Li and Xue, Xiangyang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1902-L1910)```Xu_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2021-green)](https://openaccess.thecvf.com/content/CVPR2021/html/Rizve_Exploring_Complementary_Strengths_of_Invariant_and_Equivariant_Representations_for_Few-Shot_CVPR_2021_paper.html) [**Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning**](https://openaccess.thecvf.com/content/CVPR2021/html/Rizve_Exploring_Complementary_Strengths_of_Invariant_and_Equivariant_Representations_for_Few-Shot_CVPR_2021_paper.html) ,
by *Rizve, Mamshad Nayeem, Khan, Salman, Khan, Fahad Shahbaz and Shah, Mubarak* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1912-L1920)```Rizve_2021_CVPR```
- [![](https://img.shields.io/badge/CVPR-2020-green)](https://doi.org/10.1109/CVPR42600.2020.01259) [**Boosting Few-Shot Learning With Adaptive Margin Loss**](https://doi.org/10.1109/CVPR42600.2020.01259) ,
by *Aoxue Li and
Weiran Huang and
Xu Lan and
Jiashi Feng and
Zhenguo Li and
Liwei Wang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1248-L1260)```Li0LFLW20```
## ICCV- [![](https://img.shields.io/badge/ICCV-2021-green)](https://openaccess.thecvf.com/content/ICCV2021/html/Chowdhury_Few-Shot_Image_Classification_Just_Use_a_Library_of_Pre-Trained_Feature_ICCV_2021_paper.html) [**Few-Shot Image Classification: Just Use a Library of Pre-Trained Feature Extractors and a Simple Classifier**](https://openaccess.thecvf.com/content/ICCV2021/html/Chowdhury_Few-Shot_Image_Classification_Just_Use_a_Library_of_Pre-Trained_Feature_ICCV_2021_paper.html) ,
by *Chowdhury, Arkabandhu, Jiang, Mingchao, Chaudhuri, Swarat and Jermaine, Chris* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1120-L1127)```Chowdhury_2021_ICCV```
- [![](https://img.shields.io/badge/ICCV-2021-green)](https://openaccess.thecvf.com/content/ICCV2021/html/Lazarou_Iterative_Label_Cleaning_for_Transductive_and_Semi-Supervised_Few-Shot_Learning_ICCV_2021_paper.html) [**Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning**](https://openaccess.thecvf.com/content/ICCV2021/html/Lazarou_Iterative_Label_Cleaning_for_Transductive_and_Semi-Supervised_Few-Shot_Learning_ICCV_2021_paper.html) ,
by *Lazarou, Michalis, Stathaki, Tania and Avrithis, Yannis* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1129-L1136)```Lazarou_2021_ICCV```
- [![](https://img.shields.io/badge/ICCV-2021-green)](https://openaccess.thecvf.com/content/ICCV2021/html/Das_On_the_Importance_of_Distractors_for_Few-Shot_Classification_ICCV_2021_paper.html) [**On the Importance of Distractors for Few-Shot Classification**](https://openaccess.thecvf.com/content/ICCV2021/html/Das_On_the_Importance_of_Distractors_for_Few-Shot_Classification_ICCV_2021_paper.html) ,
by *Das, Rajshekhar, Wang, Yu-Xiong and Moura, Jos\'e M. F.* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1138-L1145)```Das_2021_ICCV```
## TACL- [![](https://img.shields.io/badge/Trans._Assoc._Comput._Linguistics-2021-green)](https://aclanthology.org/2021.tacl-1.42) [**Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes**](https://aclanthology.org/2021.tacl-1.42) ,
by *Sabo, Ofer and
Elazar, Yanai and
Goldberg, Yoav and
Dagan, Ido* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1147-L1158)```sabo-etal-2021-revisiting```
- [![](https://img.shields.io/badge/Trans._Assoc._Comput._Linguistics-2020-green)](https://transacl.org/ojs/index.php/tacl/article/view/1983) [**How Can We Know What Language Models Know**](https://transacl.org/ojs/index.php/tacl/article/view/1983) ,
by *Zhengbao Jiang and
Frank F. Xu and
Jun Araki and
Graham Neubig* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3073-L3084)```JiangXAN20```
## ACM Comput. Surv.- [![](https://img.shields.io/badge/ACM_Comput._Surv.-2020-green)](https://doi.org/10.1145/3386252) [**Generalizing from a Few Examples: A Survey on Few-shot Learning**](https://doi.org/10.1145/3386252) ,
by *Yaqing Wang and
Quanming Yao and
James T. Kwok and
Lionel M. Ni* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L1262-L1272)```WangYKN20```
## arXiv- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2104.07650) [**AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction**](https://arxiv.org/abs/2104.07650) ,
by *Xiang Chen and
Xin Xie and
Ningyu Zhang and
Jiahuan Yan and
Shumin Deng and
Chuanqi Tan and
Fei Huang and
Luo Si and
Huajun Chen* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3469-L3484)```abs-2104-07650```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2103.10385) [**GPT Understands, Too**](https://arxiv.org/abs/2103.10385) ,
by *Xiao Liu and
Yanan Zheng and
Zhengxiao Du and
Ming Ding and
Yujie Qian and
Zhilin Yang and
Jie Tang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3486-L3499)```abs-2103-10385```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2101.00190) [**Prefix-Tuning: Optimizing Continuous Prompts for Generation**](https://arxiv.org/abs/2101.00190) ,
by *Xiang Lisa Li and
Percy Liang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3502-L3510)```abs-2101-00190```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2104.08773) [**Natural Instructions: Benchmarking Generalization to New Tasks from
Natural Language Instructions**](https://arxiv.org/abs/2104.08773) ,
by *Swaroop Mishra and
Daniel Khashabi and
Chitta Baral and
Hannaneh Hajishirzi* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3522-L3533)```abs-2104-08773```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2105.11259) [**PTR: Prompt Tuning with Rules for Text Classification**](https://arxiv.org/abs/2105.11259) ,
by *Xu Han and
Weilin Zhao and
Ning Ding and
Zhiyuan Liu and
Maosong Sun* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3535-L3546)```abs-2105-11259```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2104.08691) [**The Power of Scale for Parameter-Efficient Prompt Tuning**](https://arxiv.org/abs/2104.08691) ,
by *Brian Lester and
Rami Al{-}Rfou and
Noah Constant* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3548-L3557)
```EMNLP 2021
``````abs-2104-08691```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2106.06411) [**Zero-Shot Controlled Generation with Encoder-Decoder Transformers**](https://arxiv.org/abs/2106.06411) ,
by *Devamanyu Hazarika, Mahdi Namazifar and Dilek Hakkani-Tür* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3560-L3567)```hazarika2021zeroshot```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2104.08826) [**GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation**](https://arxiv.org/abs/2104.08826) ,
by *Kang Min Yoo and
Dongju Park and
Jaewook Kang and
Sang{-}Woo Lee and
Woomyeong Park* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3569-L3580)```abs-2104-08826```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2104.07540) [**Generating Datasets with Pretrained Language Models**](https://arxiv.org/abs/2104.07540) ,
by *Timo Schick and
Hinrich Sch{\"{u}}tze* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3582-L3590)```abs-2104-07540```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2102.01335) [**Neural Data Augmentation via Example Extrapolation**](https://arxiv.org/abs/2102.01335) ,
by *Kenton Lee and
Kelvin Guu and
Luheng He and
Tim Dozat and
Hyung Won Chung* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3592-L3603)```abs-2102-01335```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2104.14690) [**Entailment as Few-Shot Learner**](https://arxiv.org/abs/2104.14690) ,
by *Sinong Wang and
Han Fang and
Madian Khabsa and
Hanzi Mao and
Hao Ma* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3605-L3616)```abs-2104-14690```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2104.08786) [**Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot
Prompt Order Sensitivity**](https://arxiv.org/abs/2104.08786) ,
by *Yao Lu and
Max Bartolo and
Alastair Moore and
Sebastian Riedel and
Pontus Stenetorp* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3618-L3630)```abs-2104-08786```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2106.07499) [**An Empirical Survey of Data Augmentation for Limited Data Learning in NLP**](https://arxiv.org/abs/2106.07499) ,
by *Jiaao Chen, Derek Tam, Colin Raffel, Mohit Bansal and Diyi Yang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3633-L3640)```chen2021empirical```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2104.04670) [**Meta-tuning Language Models to Answer Prompts Better**](https://arxiv.org/abs/2104.04670) ,
by *Ruiqi Zhong and
Kristy Lee and
Zheng Zhang and
Dan Klein* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3642-L3652)```abs-2104-04670```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2106.02695) [**Meta-Learning with Fewer Tasks through Task Interpolation**](https://arxiv.org/abs/2106.02695) ,
by *Huaxiu Yao, Linjun Zhang and Chelsea Finn* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3654-L3661)
```NeurIPS under-review
``````yao2021metalearning```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2106.07343) [**Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling**](https://arxiv.org/abs/2106.07343) ,
by *Yutai Hou, Yongkui Lai, Cheng Chen, Wanxiang Che and Ting Liu* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3665-L3672)
```ACL Findings 2021 preprint
``````hou2021learning```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2107.13586) [**Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing**](https://arxiv.org/abs/2107.13586) ,
by *Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi and Graham Neubig* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3707-L3715)
```Prompt-based learning -- survey paper
``````liu2021pretrain```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2108.02035) [**Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer
for Text Classification**](https://arxiv.org/abs/2108.02035) ,
by *Shengding Hu and
Ning Ding and
Huadong Wang and
Zhiyuan Liu and
Juanzi Li and
Maosong Sun* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3742-L3755)```abs-2108-02035```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2108.04106) [**Noisy Channel Language Model Prompting for Few-Shot Text Classification**](https://arxiv.org/abs/2108.04106) ,
by *Sewon Min and
Mike Lewis and
Hannaneh Hajishirzi and
Luke Zettlemoyer* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3757-L3767)```abs-2108-04106```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2109.01247) [**Do Prompt-Based Models Really Understand the Meaning of their Prompts?**](https://arxiv.org/abs/2109.01247) ,
by *Albert Webson and Ellie Pavlick* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3769-L3776)```webson2021promptbased```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2108.10604) [**Prompt-Learning for Fine-Grained Entity Typing**](https://arxiv.org/abs/2108.10604) ,
by *Ning Ding and
Yulin Chen and
Xu Han and
Guangwei Xu and
Pengjun Xie and
Hai{-}Tao Zheng and
Zhiyuan Liu and
Juanzi Li and
Hong{-}Gee Kim* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3780-L3795)```abs-2108-10604```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2108.13487) [**Want To Reduce Labeling Cost? GPT-3 Can Help**](https://arxiv.org/abs/2108.13487) ,
by *Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu and Michael Zeng* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3798-L3808)
```EMNLP Findings 2021, adopting GPT-3 for label generation.
``````wang2021want```
- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2109.03630) [**Discrete and Soft Prompting for Multilingual Models**](https://arxiv.org/abs/2109.03630) ,
by *Mengjie Zhao and Hinrich Schütze* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3812-L3822)
```EMNLP 2021
``````zhao2021discrete```
- [![](https://img.shields.io/badge/CoRR-2020-green)](https://arxiv.org/abs/2012.11926) [**Few-Shot Text Generation with Pattern-Exploiting Training**](https://arxiv.org/abs/2012.11926) ,
by *Timo Schick and
Hinrich Sch{\"{u\textsl{}}}tze* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3512-L3520)```abs-2012-11926```
- [![](https://img.shields.io/badge/CoRR-2020-green)](https://arxiv.org/abs/2012.02353) [**Few-Shot Event Detection with Prototypical Amortized Conditional Random
Field**](https://arxiv.org/abs/2012.02353) ,
by *Xin Cong and
Shiyao Cui and
Bowen Yu and
Tingwen Liu and
Yubin Wang and
Bin Wang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3675-L3688)
```ACL 2021
``````abs-2012-02353```
- [![](https://img.shields.io/badge/CoRR-2020-green)](https://arxiv.org/abs/2012.15682) [**A Closer Look at Few-Shot Crosslingual Transfer: Variance, Benchmarks
and Baselines**](https://arxiv.org/abs/2012.15682) ,
by *Mengjie Zhao and
Yi Zhu and
Ehsan Shareghi and
Roi Reichart and
Anna Korhonen and
Hinrich Sch{\"{u}}tze* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3691-L3704)
```ACL 2021
``````abs-2012-15682```
- [![](https://img.shields.io/badge/CoRR-2020-green)](https://arxiv.org/abs/2009.02653) [**Learning from Very Few Samples: A Survey**](https://arxiv.org/abs/2009.02653) ,
by *Jiang Lu and
Pinghua Gong and
Jieping Ye and
Changshui Zhang* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3718-L3728)
```Survey
``````abs-2009-02653```
- [![](https://img.shields.io/badge/CoRR-2020-green)](https://arxiv.org/abs/2106.13353) [**Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models**](https://arxiv.org/abs/2106.13353) ,
by *Robert L. Logan IV au2, Ivana Balažević, Eric Wallace, Fabio Petroni, Sameer Singh and Sebastian Riedel* [[bib]](https://github.com/wutong8023/Awesome_Few_Shot_Learning/blob/master/./bibtex.bib#L3732-L3739)```logan2021cutting```