Awesome Multi-Label Paper List
A curated list of multi-label classification papers.
Paperswithcode links will be preferred.
Welcome contributions!
Cat. |
Name |
Title |
Links |
NLP |
RCV1-v2 |
Rcv1: A new benchmark collection for text categorization research |
[link] |
NLP |
AAPD |
SGM: Sequence Generation Model for Multi-label Classification |
[link] |
NLP |
WOS |
HDLTex: Hierarchical Deep Learning for Text Classification |
[link] |
NLP |
Reuters-21578 |
An analysis of the relative hardness of Reuters‐21578 subsets |
[link] |
NLP |
RMSC |
Driven Multi-Label Music Style Classification by Exploiting Style Correlations |
[link] |
NLP |
GoEmotions |
GoEmotions: A dataset of fine-grained emotions |
[link] |
CV |
Sewer-ML |
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark |
[link] |
CV |
MS-COCO |
Microsoft COCO: Common Objects in Context |
[link] |
MM |
M3ED |
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database |
[link] |
NLP |
BGC |
Hierarchical Multi-label Classification of Text with Capsule Networks |
[link] |
NLP |
MIMIC-III |
MIMIC-III, a freely accessible critical care database |
[link] |
Year |
Title |
Links |
2020 |
The Emerging Trends of Multi-Label Learning |
[paper] |
2020 |
A Survey on Text Classification: From Shallow to Deep Learning |
[link] |
2019 |
Survey on Multi-Output Learning |
[paper] |
Year |
Title |
Links |
2021 |
PaddleNLP: An Easy-to-use and High Performance NLP Library |
[repo][code] |
2019 |
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit |
[paper][code] |
Cat. |
Pub. |
Year |
Title |
Links |
NLP |
Arxiv |
2022 |
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding |
[link] |
NLP |
EMNLP |
2022 |
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification |
[paper][code] |
NLP |
NLPCC |
2022 |
Prompt-Based Generative Multi-label Emotion Prediction with Label Contrastive Learning |
[paper][code] |
NLP |
Springer |
2021 |
Label prompt for multi-label text classification |
[paper] |
PaddleNLP Solution: https://github.com/PaddlePaddle/PaddleNLP/tree/develop/applications/text_classification/multi_label/few-shot
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] [paper] [preprint] |
NLP |
ACL |
2022 |
Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement |
[link] |
NLP |
ACL |
2022 |
Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification |
[link] |
MM |
AAAI |
2022 |
Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition |
[paper][code] |
NLP |
ICASSP |
2022 |
Multi-relation Message Passing for Multi-label Text Classification |
[link] |
NLP |
ECIR |
2021 |
A Multi-Task Approach to Neural Multi-Label Hierarchical Patent Classification using Transformers |
[paper][code] |
CV |
ICPR |
2021 |
Visual Transformers with Primal Object Queries for Multi-Label Image Classification |
[link] |
NLP |
Arxiv |
2021 |
Hierarchy Decoder is All You Need To Text Classification |
[paper] |
CV |
Arxiv |
2021 |
ML-Decoder: Scalable and Versatile Classification Head |
[link] |
CV |
Arxiv |
2021 |
Query2Label: A Simple Transformer Way to Multi-Label Classification |
[link] |
CV |
Arxiv |
2021 |
MlTr: Multi-label Classification with Transformer |
[link] |
NLP |
ICDM |
2021 |
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification |
[paper] |
NLP |
Arxiv |
2021 |
Hierarchy-Aware T5 with Path-Adaptive Mask Mechanism for Hierarchical Text Classification |
[paper] |
CV |
ICCV |
2021 |
Transformer-based Dual Relation Graph for Multi-label Image Recognition |
[link] |
NLP |
IJCAI |
2021 |
Correlation-Guided Representation for Multi-Label Text Classification |
[paper] |
NLP |
ACL Findings |
2021 |
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning |
[link] |
CV |
CVPR |
2021 |
General Multi-Label Image Classification With Transformers |
[link] |
CV |
AAAI |
2021 |
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders |
[link] |
MM |
ACM MM |
2021 |
M3TR: Multi-modal Multi-label Recognition with Transformer |
[paper] |
Cat. |
Pub. |
Year |
Title |
Links |
NLP |
ACL |
2022 |
Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification |
[link] |
CV |
AAAI |
2021 |
Modular Graph Transformer Networks for Multi-Label Image Classification |
[paper] |
NLP |
ACL-ARR |
2021 |
Multi-Label Text Classification by Graph Neural Network with Mixing Operations |
[paper] |
NLP |
Arxiv |
2021 |
Heterogeneous Graph Neural Networks for Multi-label Text Classification |
[paper] |
NLP |
ACL |
2021 |
Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification |
[paper][code] |
NLP |
ACL |
2021 |
Label-Specific Dual Graph Neural Network for Multi-Label Text Classification |
[paper] |
NLP |
EMNLP |
2021 |
Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs |
[paper] |
NLP |
EMNLP |
2021 |
Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations |
[paper] |
NLP |
WSDM |
2020 |
Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification |
[paper][code] |
NLP |
ACL |
2019 |
Hierarchy-Aware Global Model for Hierarchical Text Classification |
[paper][code] |
CV |
CVPR |
2019 |
Multi-Label Image Recognition with Graph Convolutional Networks |
[link] |
CV |
CVPR |
2018 |
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs |
[link] |
Cat. |
Pub. |
Year |
Title |
Links |
NLP |
Arxiv |
2022 |
ZLPR: A Novel Loss for Multi-label Classification |
[paper][code] |
CV |
Arxiv |
2021 |
Multi-label Classification with Partial Annotations using Class-aware Selective Loss |
[paper][code] |
NLP |
EMNLP |
2021 |
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution |
[paper][code] |
CV |
ICCV |
2021 |
Asymmetric Loss For Multi-Label Classification |
[paper][code] |
Cat. |
Pub. |
Year |
Title |
Links |
NLP |
ACL |
2022 |
Evaluating Extreme Hierarchical Multi-label Classification |
[link] |
NLP |
AAAI |
2021 |
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification |
[paper][code] |
NLP |
KDD |
2020 |
Taming Pretrained Transformers for Extreme Multi-label Text Classification |
[paper][code] |
NLP |
KDD |
2020 |
Correlation Networks for Extreme Multi-label Text Classification |
[paper] |
Cat. |
Pub. |
Year |
Title |
Links |
CV |
ICLR |
2022 |
Contrastive Label Disambiguation for Partial Label Learning |
[link] |
CV |
AAAI |
2022 |
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels |
[paper][code] |
CV |
AAAI |
2022 |
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels |
[link] |
CV |
CVPR Workshop |
2021 |
PLM: Partial Label Masking for Imbalanced Multi-label Classification |
[paper] |
Cat. |
Pub. |
Year |
Title |
Links |
NLP |
KDD |
2021 |
Generalized Zero-Shot Extreme Multi-label Learning |
[link] |
CV |
CVPR |
2021 |
Multi-Label Learning from Single Positive Labels |
[paper][code] |
NLP |
NAACL |
2021 |
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning |
[paper][code] |
NLP |
EMNLP |
2020 |
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs |
[paper][code] |
Cat. |
Pub. |
Year |
Title |
Links |
NLP |
NAACL |
2021 |
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names |
[link] |
NLP |
ACL |
2021 |
Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification |
[paper][code] |
NLP |
IPM |
2021 |
A novel reasoning mechanism for multi-label text classification |
[paper] |
CV |
Arxiv |
2021 |
Multi-layered Semantic Representation Network for Multi-label Image Classification |
[paper][code] |
NLP |
EACL |
2021 |
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification |
[paper][code] |
NLP |
NAACL |
2021 |
Modeling Diagnostic Label Correlation for Automatic ICD Coding |
[paper][code] |
NLP |
NAACL |
2021 |
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization |
[paper][code] |
CV |
ICCV |
2021 |
Residual Attention: A Simple but Effective Method for Multi-Label Recognition |
[link] |
NLP |
NLPCC |
2020 |
Label-Wise Document Pre-Training for Multi-Label Text Classification |
[paper][code] |
CV |
AAAI |
2020 |
Multi-Label Classification with Label Graph Superimposing |
[link] |
NLP |
IJCNLP |
2019 |
Label-Specific Document Representation for Multi-Label Text Classification |
[link] |
NLP |
ACL |
2018 |
Joint Embedding of Words and Labels for Text Classification |
[link] |
NLP |
ICMLA |
2017 |
HDLTex: Hierarchical Deep Learning for Text Classification |
[link] |
NLP |
NAACL |
2016 |
Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence |
[paper] |