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https://github.com/entropy2333/awesome-multi-label-paper-list
A curated list of papers for multi-label classification.
https://github.com/entropy2333/awesome-multi-label-paper-list
List: awesome-multi-label-paper-list
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A curated list of papers for multi-label classification.
- Host: GitHub
- URL: https://github.com/entropy2333/awesome-multi-label-paper-list
- Owner: entropy2333
- Created: 2022-01-23T06:12:27.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2024-05-22T18:07:50.000Z (7 months ago)
- Last Synced: 2024-05-23T09:00:56.091Z (7 months ago)
- Homepage:
- Size: 59.6 KB
- Stars: 50
- Watchers: 3
- Forks: 6
- Open Issues: 1
-
Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
- Awesome-Paper-List - Multi-Label Learning
- ultimate-awesome - awesome-multi-label-paper-list - A curated list of papers for multi-label classification. (Other Lists / PowerShell Lists)
README
# Awesome Multi-Label Paper List
[](https://awesome.re)
A curated list of multi-label classification papers.
Paperswithcode links will be preferred.
Welcome contributions!
## Tabel of Contents
- [Awesome Multi-Label Paper List](#awesome-multi-label-paper-list)
- [Tabel of Contents](#tabel-of-contents)
- [Datasets](#datasets)
- [Survey](#survey)
- [Toolkit](#toolkit)
- [Models](#models)
- [Prompt-Based](#prompt-based)
- [Transformer-Based](#transformer-based)
- [Graph-Based](#graph-based)
- [Loss-Based](#loss-based)
- [XMLC](#xmlc)
- [Partial Multi-Label](#partial-multi-label)
- [Few/Zero Shot](#fewzero-shot)
- [Others](#others)
- [Related Resources](#related-resources)
- [Star History](#star-history)
## Datasets
| Cat. | Name | Title | Links |
|:----:|:-------------:| ------------------------------------------------------------------------------ |:-------------------------------------------------------------------------------------------------:|
| NLP | RCV1-v2 | Rcv1: A new benchmark collection for text categorization research | [[link]](https://paperswithcode.com/dataset/rcv1) |
| NLP | AAPD | SGM: Sequence Generation Model for Multi-label Classification | [[link]](https://paperswithcode.com/paper/sgm-sequence-generation-model-for-multi-label) |
| NLP | WOS | HDLTex: Hierarchical Deep Learning for Text Classification | [[link]](https://paperswithcode.com/paper/hdltex-hierarchical-deep-learning-for-text) |
| NLP | Reuters-21578 | An analysis of the relative hardness of Reuters‐21578 subsets | [[link]](https://paperswithcode.com/dataset/reuters-21578) |
| NLP | RMSC | Driven Multi-Label Music Style Classification by Exploiting Style Correlations | [[link]](https://paperswithcode.com/paper/review-driven-multi-label-music-style) |
| NLP | GoEmotions | GoEmotions: A dataset of fine-grained emotions | [[link]](https://paperswithcode.com/paper/goemotions-a-dataset-of-fine-grained-emotions) |
| CV | Sewer-ML | Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark | [[link]](https://paperswithcode.com/paper/sewer-ml-a-multi-label-sewer-defect) |
| CV | MS-COCO | Microsoft COCO: Common Objects in Context | [[link]](https://paperswithcode.com/paper/microsoft-coco-common-objects-in-context) |
| MM | M3ED | M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database | [[link]](https://paperswithcode.com/paper/m3ed-multi-modal-multi-scene-multi-label) |
| NLP | BGC | Hierarchical Multi-label Classification of Text with Capsule Networks | [[link]](https://www.inf.uni-hamburg.de/en/inst/ab/lt/resources/data/blurb-genre-collection.html) |
| NLP | MIMIC-III | MIMIC-III, a freely accessible critical care database | [[link]](https://paperswithcode.com/dataset/mimic-iii) |
## Survey
| Year | Title | Links |
| ---- | -------------------------------------------------------------- |:------------------------------------------------:|
| 2020 | The Emerging Trends of Multi-Label Learning | [[paper]](https://arxiv.org/pdf/2011.11197.pdf) |
| 2020 | A Survey on Text Classification: From Shallow to Deep Learning | [[link]](https://arxiv.org/pdf/2008.00364v6.pdf) |
| 2019 | Survey on Multi-Output Learning | [[paper]](http://arxiv.org/pdf/1901.00248) |
## Toolkit
| Year | Title | Links |
| ---- | -------------------------------------------------------------------------------------------- |:----------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| 2021 | PaddleNLP: An Easy-to-use and High Performance NLP Library | [[repo]](https://github.com/PaddlePaddle/PaddleNLP)[[code]](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/applications/text_classification/multi_label) |
| 2019 | NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit | [[paper]](https://aclanthology.org/P19-3015.pdf)[[code]](https://github.com/Tencent/NeuralNLP-NeuralClassifier) |
## Models
### Prompt-Based
| Cat. | Pub. | Year | Title | Links |
|:----:|:--------:|:----:| -------------------------------------------------------------------------------------- |:----------------------------------------------------------------------------------------------------------------------------------:|
| NLP | Arxiv | 2022 | Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding | [[link]](https://paperswithcode.com/paper/knowledge-injected-prompt-based-fine-tuning) |
| NLP | EMNLP | 2022 | HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification | [[paper]](https://arxiv.org/pdf/2204.13413v1.pdf)[[code]](https://github.com/wzh9969/HPT) |
| NLP | NLPCC | 2022 | Prompt-Based Generative Multi-label Emotion Prediction with Label Contrastive Learning | [[paper]](https://link.springer.com/chapter/10.1007/978-3-031-17120-8_43)[[code]](https://github.com/yychai74/Generative-MultiEmo) |
| NLP | Springer | 2021 | Label prompt for multi-label text classification | [[paper]](https://link.springer.com/article/10.1007/s10489-022-03896-4) |
>PaddleNLP Solution: https://github.com/PaddlePaddle/PaddleNLP/tree/develop/applications/text_classification/multi_label/few-shot
### Transformer-Based
| Cat. | Pub. | Year | Title | Links |
|:----:|:------------:|:----:| -------------------------------------------------------------------------------------------------------------------------- |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| CV | ICCIT | 2023 | SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification | [[link]](https://paperswithcode.com/paper/synthensemble-a-fusion-of-cnn-vision) [[paper]](https://ieeexplore.ieee.org/document/10441433) [[preprint]](https://arxiv.org/abs/2311.07750)
| NLP | ACL | 2022 | Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement | [[link]](https://paperswithcode.com/paper/improving-multi-label-malevolence-detection) |
| NLP | ACL | 2022 | Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification | [[link]](https://paperswithcode.com/paper/contrastive-learning-enhanced-nearest) |
| MM | AAAI | 2022 | Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition | [[paper]](https://arxiv.org/pdf/2201.05834.pdf)[[code]](https://github.com/kniter1/TAILOR) |
| NLP | ICASSP | 2022 | Multi-relation Message Passing for Multi-label Text Classification | [[link]](https://paperswithcode.com/paper/multi-relation-message-passing-for-multi) |
| NLP | ECIR | 2021 | A Multi-Task Approach to Neural Multi-Label Hierarchical Patent Classification using Transformers | [[paper]](https://annefried.github.io/files/hierarchical_patent_classification_ecir2021.pdf)[[code]](https://github.com/boschresearch/hierarchical_patent_classification_ecir2021/) |
| CV | ICPR | 2021 | Visual Transformers with Primal Object Queries for Multi-Label Image Classification | [[link]](https://paperswithcode.com/paper/visual-transformers-with-primal-object) |
| NLP | Arxiv | 2021 | Hierarchy Decoder is All You Need To Text Classification | [[paper]](https://arxiv.org/pdf/2111.11104v1.pdf) |
| CV | Arxiv | 2021 | ML-Decoder: Scalable and Versatile Classification Head | [[link]](https://paperswithcode.com/paper/ml-decoder-scalable-and-versatile) |
| CV | Arxiv | 2021 | Query2Label: A Simple Transformer Way to Multi-Label Classification | [[link]](https://paperswithcode.com/paper/query2label-a-simple-transformer-way-to-multi) |
| CV | Arxiv | 2021 | MlTr: Multi-label Classification with Transformer | [[link]](https://paperswithcode.com/paper/mltr-multi-label-classification-with) |
| NLP | ICDM | 2021 | Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification | [[paper]](https://arxiv.org/pdf/2109.06661v2.pdf) |
| NLP | Arxiv | 2021 | Hierarchy-Aware T5 with Path-Adaptive Mask Mechanism for Hierarchical Text Classification | [[paper]](https://arxiv.org/pdf/2109.08585.pdf) |
| CV | ICCV | 2021 | Transformer-based Dual Relation Graph for Multi-label Image Recognition | [[link]](https://paperswithcode.com/paper/transformer-based-dual-relation-graph-for-1) |
| NLP | IJCAI | 2021 | Correlation-Guided Representation for Multi-Label Text Classification | [[paper]](https://www.ijcai.org/proceedings/2021/0463.pdf) |
| NLP | ACL Findings | 2021 | Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning | [[link]](https://paperswithcode.com/paper/enhancing-label-correlation-feedback-in-multi) |
| CV | CVPR | 2021 | General Multi-Label Image Classification With Transformers | [[link]](https://paperswithcode.com/paper/general-multi-label-image-classification-with) |
| CV | AAAI | 2021 | HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders | [[link]](https://paperswithcode.com/paper/hot-vae-learning-high-order-label-correlation) |
| MM | ACM MM | 2021 | M3TR: Multi-modal Multi-label Recognition with Transformer | [[paper]](https://dl.acm.org/doi/pdf/10.1145/3474085.3475191) |
### Graph-Based
| Cat. | Pub. | Year | Title | Links |
|:----:|:-------:|:----:| -------------------------------------------------------------------------------------------------------------------------------- |:--------------------------------------------------------------------------------------------------------:|
| NLP | ACL | 2022 | Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification | [[link]](https://paperswithcode.com/paper/incorporating-hierarchy-into-text-encoder-a) |
| CV | AAAI | 2021 | Modular Graph Transformer Networks for Multi-Label Image Classification | [[paper]](https://people.cs.umu.se/sonvx/files/2021_AAAI_MGTN.pdf) |
| NLP | ACL-ARR | 2021 | Multi-Label Text Classification by Graph Neural Network with Mixing Operations | [[paper]](https://openreview.net/pdf?id=XT4BaluDTo) |
| NLP | Arxiv | 2021 | Heterogeneous Graph Neural Networks for Multi-label Text Classification | [[paper]](https://arxiv.org/pdf/2103.14620v1.pdf) |
| NLP | ACL | 2021 | Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification | [[paper]](https://aclanthology.org/2021.acl-long.337.pdf)[[code]](https://github.com/RuiBai1999/HiMatch) |
| NLP | ACL | 2021 | Label-Specific Dual Graph Neural Network for Multi-Label Text Classification | [[paper]](https://aclanthology.org/2021.acl-long.298.pdf) |
| NLP | EMNLP | 2021 | Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs | [[paper]](https://aclanthology.org/2021.emnlp-main.253.pdf) |
| NLP | EMNLP | 2021 | Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations | [[paper]](https://aclanthology.org/2021.emnlp-main.190.pdf) |
| NLP | WSDM | 2020 | Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification | [[paper]](https://arxiv.org/pdf/1911.03626v2.pdf)[[code]](https://github.com/Makwen1995/MusicGenre) |
| NLP | ACL | 2019 | Hierarchy-Aware Global Model for Hierarchical Text Classification | [[paper]](https://aclanthology.org/2020.acl-main.104.pdf)[[code]](https://github.com/Alibaba-NLP/HiAGM) |
| CV | CVPR | 2019 | Multi-Label Image Recognition with Graph Convolutional Networks | [[link]](https://paperswithcode.com/paper/multi-label-image-recognition-with-graph) |
| CV | CVPR | 2018 | Multi-Label Zero-Shot Learning with Structured Knowledge Graphs | [[link]](https://paperswithcode.com/paper/multi-label-zero-shot-learning-with) |
### Loss-Based
| Cat. | Pub. | Year | Title | Links |
|:----:|:-----:|:----:| ----------------------------------------------------------------------------------------- |:-------------------------------------------------------------------------------------------------------------:|
| NLP | Arxiv | 2022 | ZLPR: A Novel Loss for Multi-label Classification | [[paper]](https://paperswithcode.com/paper/zlpr-a-novel-loss-for-multi-label)[[code]](https://github.com/Tau-J/MultilabelCrossEntropyLoss-Pytorch) |
| CV | Arxiv | 2021 | Multi-label Classification with Partial Annotations using Class-aware Selective Loss | [[paper]](https://arxiv.org/pdf/2110.10955v1.pdf)[[code]](https://github.com/alibaba-miil/partiallabelingcsl) |
| NLP | EMNLP | 2021 | Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution | [[paper]](https://aclanthology.org/2021.emnlp-main.643.pdf)[[code]](https://github.com/Roche/BalancedLossNLP) |
| CV | ICCV | 2021 | Asymmetric Loss For Multi-Label Classification | [[paper]](https://arxiv.org/pdf/2009.14119.pdf)[[code]](https://github.com/Alibaba-MIIL/ASL) |
### XMLC
| Cat. | Pub. | Year | Title | Links |
|:----:|:----:|:----:| ----------------------------------------------------------------------------------------------------------------- |:--------------------------------------------------------------------------------------------:|
| NLP | ACL | 2022 | Evaluating Extreme Hierarchical Multi-label Classification | [[link]](https://paperswithcode.com/paper/evaluating-extreme-hierarchical-multi-label) |
| NLP | AAAI | 2021 | LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification | [[paper]](https://arxiv.org/pdf/2101.03305.pdf)[[code]](http://github.com/kongds/LightXML) |
| NLP | KDD | 2020 | Taming Pretrained Transformers for Extreme Multi-label Text Classification | [[paper]](https://arxiv.org/pdf/1905.02331.pdf)[[code]](https://github.com/guoqunabc/X-BERT) |
| NLP | KDD | 2020 | Correlation Networks for Extreme Multi-label Text Classification | [[paper]](https://dl.acm.org/doi/pdf/10.1145/3394486.3403151) |
### Partial Multi-Label
| Cat. | Pub. | Year | Title | Links |
|:----:|:---------:|:----:| -------------------------------------------------------------------------------------------- |:----------------------------------------------------------------------------------------------------:|
| CV | ICLR | 2022 | Contrastive Label Disambiguation for Partial Label Learning | [[link]](https://paperswithcode.com/paper/contrastive-label-disambiguation-for-partial) |
| CV | AAAI | 2022 | Structured Semantic Transfer for Multi-Label Recognition with Partial Labels | [[paper]](https://arxiv.org/pdf/2112.10941v2.pdf)[[code]](https://github.com/hcplab-sysu/hcp-mlr-pl) |
| CV | AAAI | 2022 | Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels | [[link]](https://paperswithcode.com/paper/semantic-aware-representation-blending-for) |
| CV | CVPR Workshop | 2021 | PLM: Partial Label Masking for Imbalanced Multi-label Classification | [[paper]](https://arxiv.org/pdf/2105.10782v1.pdf) |
### Few/Zero Shot
| Cat. | Pub. | Year | Title | Links |
|:----:|:-----:| ---- | ---------------------------------------------------------------------------------------------------------------------- |:------------------------------------------------------------------------------------------------------------------:|
| NLP | KDD | 2021 | Generalized Zero-Shot Extreme Multi-label Learning | [[link]](https://paperswithcode.com/paper/extreme-zero-shot-learning-for-extreme-text) |
| CV | CVPR | 2021 | Multi-Label Learning from Single Positive Labels | [[paper]](https://arxiv.org/abs/2106.09708.pdf)[[code]](https://github.com/elijahcole/single-positive-multi-label) |
| NLP | NAACL | 2021 | Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning | [[paper]](https://aclanthology.org/2021.naacl-main.83.pdf)[[code]](https://github.com/layneins/Zero-shot-RLHR) |
| NLP | EMNLP | 2020 | Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs | [[paper]](https://aclanthology.org/2020.emnlp-main.235.pdf)[[code]](https://github.com/MemoriesJ/KAMG) |
### Others
| Cat. | Pub. | Year | Title | Links |
|:----:|:------:| ---- | ------------------------------------------------------------------------------------------------------------------ |:-------------------------------------------------------------------------------------------------------------------------------:|
| NLP | NAACL | 2021 | TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names | [[link]](https://paperswithcode.com/paper/taxoclass-hierarchical-multi-label-text) |
| NLP | ACL | 2021 | Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification | [[paper]](https://aclanthology.org/2021.acl-long.388.pdf)[[code]](https://github.com/wxpkanon/CLEDforHTC.git) |
| NLP | IPM | 2021 | A novel reasoning mechanism for multi-label text classification | [[paper]](https://www.sciencedirect.com/science/article/pii/S0306457320309341) |
| CV | Arxiv | 2021 | Multi-layered Semantic Representation Network for Multi-label Image Classification | [[paper]](https://arxiv.org/pdf/2106.11596v1.pdf)[[code]](https://github.com/chehao2628/MSRN) |
| NLP | EACL | 2021 | Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification | [[paper]](https://aclanthology.org/2021.eacl-main.247.pdf)[[code]](https://github.com/soumyac1999/hyperbolic-label-emb-for-hmc) |
| NLP | NAACL | 2021 | Modeling Diagnostic Label Correlation for Automatic ICD Coding | [[paper]](https://aclanthology.org/2021.naacl-main.318.pdf)[[code]](https://github.com/MiuLab/ICD-Correlation) |
| NLP | NAACL | 2021 | HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization | [[paper]](https://aclanthology.org/2021.naacl-main.260.pdf)[[code]](https://github.com/RingBDStack/HTCInfoMax) |
| CV | ICCV | 2021 | Residual Attention: A Simple but Effective Method for Multi-Label Recognition | [[link]](https://paperswithcode.com/paper/residual-attention-a-simple-but-effective) |
| NLP | NLPCC | 2020 | Label-Wise Document Pre-Training for Multi-Label Text Classification | [[paper]](https://arxiv.org/pdf/2008.06695v1.pdf)[[code]](https://github.com/laddie132/LW-PT) |
| CV | AAAI | 2020 | Multi-Label Classification with Label Graph Superimposing | [[link]](https://paperswithcode.com/paper/multi-label-classification-with-label-graph) |
| NLP | IJCNLP | 2019 | Label-Specific Document Representation for Multi-Label Text Classification | [[link]](https://paperswithcode.com/paper/label-specific-document-representation-for) |
| NLP | ACL | 2018 | Joint Embedding of Words and Labels for Text Classification | [[link]](https://paperswithcode.com/paper/joint-embedding-of-words-and-labels-for-text) |
| NLP | ICMLA | 2017 | HDLTex: Hierarchical Deep Learning for Text Classification | [[link]](https://paperswithcode.com/paper/hdltex-hierarchical-deep-learning-for-text) |
| NLP | NAACL | 2016 | Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence | [[paper]](https://aclanthology.org/N16-1063.pdf) |
## Related Resources
- AI Paper Collector: https://github.com/MLNLP-World/AI-Paper-Collector
- ACL Anthology: https://aclanthology.org
- Semantic Scholar: https://www.semanticscholar.org
- Google Scholar: https://scholar.google.com
- Bing Academic: https://cn.bing.com/academic
- Connected Papers: https://www.connectedpapers.com
- Papers with Code: https://paperswithcode.com
- Research Papers: https://papers.labml.ai/conferences
- Deeplearning Monitor: https://deeplearn.org
- OpenReview: https://openreview.net
- OpenResearch: https://www.openresearch.org
## Star History
[](https://star-history.com/#entropy2333/awesome-multi-label-paper-list&Date)