Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/zhjohnchan/awesome-contrastive-learning-in-nlp
A curated list of contrastive learning in NLP. :-)
https://github.com/zhjohnchan/awesome-contrastive-learning-in-nlp
List: awesome-contrastive-learning-in-nlp
Last synced: 3 days ago
JSON representation
A curated list of contrastive learning in NLP. :-)
- Host: GitHub
- URL: https://github.com/zhjohnchan/awesome-contrastive-learning-in-nlp
- Owner: zhjohnchan
- Created: 2021-10-30T10:54:04.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2021-11-03T12:04:35.000Z (about 3 years ago)
- Last Synced: 2024-05-22T05:01:17.149Z (6 months ago)
- Homepage:
- Size: 7.81 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome-contrastive-learning-in-nlp - A curated list of contrastive learning in NLP. :-). (Other Lists / PowerShell Lists)
- awesome-interesting-topics-in-nlp - NLP
README
# Awesome Contrastive Learning in NLP[](https://awesome.re)
A curated list of contrastive learning in NLP. :-)
## Contributing
Please feel free to send me [pull requests](https://github.com/zhjohnchan/awesome-contrastive-learning-in-nlp/pulls) or email ([email protected]) to add links.
## Table of Contents
- [Papers](#papers)
- [Survey](#survey)
- [Research Paper](#research-paper)
## Papers
### Research Paper
| Year | Venue | Title |
|-------:|:---------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 2013 | NIPS | [Contrastive Learning Using Spectral Methods](https://papers.nips.cc/paper/2013/hash/36a16a2505369e0c922b6ea7a23a56d2-Abstract.html) |
| 2016 | NIPS | [Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA](https://papers.nips.cc/paper/2016/hash/d305281faf947ca7acade9ad5c8c818c-Abstract.html) |
| 2018 | NIPS | [Contrastive Learning from Pairwise Measurements](https://papers.nips.cc/paper/2018/hash/6bf733bb7f81e866306e9b5f012419cb-Abstract.html) |
| 2019 | ACL | [Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach](https://aclanthology.org/P19-1623.pdf) |
| 2020 | EMNLP | [Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning](https://aclanthology.org/2020.emnlp-main.294.pdf) |
| 2020 | EMNLP | [Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning](https://aclanthology.org/2020.emnlp-main.444.pdf) |
| 2020 | EMNLP | [Group-wise Contrastive Learning for Neural Dialogue Generation](https://aclanthology.org/2020.findings-emnlp.70.pdf) |
| 2020 | COLING | [Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer’s Disease Detection](https://aclanthology.org/2020.coling-main.542.pdf) |
| 2020 | COLING | [A Risk Communication Event Detection Model via Contrastive Learning](https://aclanthology.org/2020.nlp4if-1.5.pdf) |
| 2020 | Findings | [Group-wise Contrastive Learning for Neural Dialogue Generation](https://aclanthology.org/2020.findings-emnlp.70.pdf) |
| 2020 | ICML | [A Simple Framework for Contrastive Learning of Visual Representations](http://proceedings.mlr.press/v119/chen20j/chen20j.pdf) |
| 2020 | ICML | [On Contrastive Learning for Likelihood-free Inference](http://proceedings.mlr.press/v119/durkan20a/durkan20a.pdf) |
| 2020 | NIPS | [Adversarial Self-Supervised Contrastive Learning](https://papers.nips.cc/paper/2020/hash/1f1baa5b8edac74eb4eaa329f14a0361-Abstract.html) |
| 2020 | NIPS | [Graph Contrastive Learning with Augmentations](https://papers.nips.cc/paper/2020/hash/3fe230348e9a12c13120749e3f9fa4cd-Abstract.html) |
| 2020 | NIPS | [What Makes for Good Views for Contrastive Learning?](https://papers.nips.cc/paper/2020/hash/4c2e5eaae9152079b9e95845750bb9ab-Abstract.html) |
| 2020 | NIPS | [Debiased Contrastive Learning](https://papers.nips.cc/paper/2020/hash/63c3ddcc7b23daa1e42dc41f9a44a873-Abstract.html) |
| 2020 | NIPS | [CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances](https://papers.nips.cc/paper/2020/hash/8965f76632d7672e7d3cf29c87ecaa0c-Abstract.html) |
| 2020 | NIPS | [Joint Contrastive Learning with Infinite Possibilities](https://papers.nips.cc/paper/2020/hash/9523147e5a6707baf674941812ee5c94-Abstract.html) |
| 2020 | NIPS | [Robust Pre-Training by Adversarial Contrastive Learning](https://papers.nips.cc/paper/2020/hash/ba7e36c43aff315c00ec2b8625e3b719-Abstract.html) |
| 2020 | NIPS | [Contrastive Learning with Adversarial Examples ](https://papers.nips.cc/paper/2020/hash/c68c9c8258ea7d85472dd6fd0015f047-Abstract.html) |
| 2020 | NIPS | [Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding](https://papers.nips.cc/paper/2020/hash/d27b95cac4c27feb850aaa4070cc4675-Abstract.html) |
| 2020 | NIPS | [Supervised Contrastive Learning](https://papers.nips.cc/paper/2020/hash/d89a66c7c80a29b1bdbab0f2a1a94af8-Abstract.html) |
| 2020 | NIPS | [Hard Negative Mixing for Contrastive Learning](https://papers.nips.cc/paper/2020/hash/f7cade80b7cc92b991cf4d2806d6bd78-Abstract.html) |
| 2021 | ACL | [Contrastive Learning for Many-to-many Multilingual Neural Machine Translation](https://aclanthology.org/2021.acl-long.21.pdf) |
| 2021 | ACL | [DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations](https://aclanthology.org/2021.acl-long.72.pdf) |
| 2021 | ACL | [CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding](https://aclanthology.org/2021.acl-long.181.pdf) |
| 2021 | ACL | [Self-Guided Contrastive Learning for BERT Sentence Representations](https://aclanthology.org/2021.acl-long.197.pdf) |
| 2021 | ACL | [UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning](https://aclanthology.org/2021.acl-long.202.pdf) |
| 2021 | ACL | [ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning](https://aclanthology.org/2021.acl-long.260.pdf) |
| 2021 | ACL | [xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering](https://aclanthology.org/2021.acl-long.477.pdf) |
| 2021 | ACL | [UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning](https://aclanthology.org/2021.acl-short.29.pdf) |
| 2021 | ACL | [Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning](https://aclanthology.org/2021.acl-short.110.pdf) |
| 2021 | ACL | [SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization](https://aclanthology.org/2021.acl-short.135.pdf) |
| 2021 | ACL | [Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup](https://aclanthology.org/2021.repl4nlp-1.31.pdf) |
| 2021 | NAACL | [Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents](https://aclanthology.org/2021.naacl-main.319.pdf) |
| 2021 | NAACL | [Supporting Clustering with Contrastive Learning](https://aclanthology.org/2021.naacl-main.427.pdf) |
| 2021 | NAACL | [Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction](https://aclanthology.org/2021.bionlp-1.1.pdf) |
| 2021 | Findings | [Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder](https://aclanthology.org/2021.findings-acl.148.pdf) |
| 2021 | Findings | [Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene](https://aclanthology.org/2021.findings-acl.151.pdf) |
## Licenses
[](http://creativecommons.org/publicdomain/zero/1.0/)
To the extent possible under law, [Zhihong Chen](https://github.com/zhjohnchan) has waived all copyright and related or neighboring rights to this work.