Some Papers on Learning with Noise Labels

Title	Venue	Year	Code
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels/(Supp)	ICML	2019	Code
NLNL: Negative Learning for Noisy Labels	ICCV	2019	Code
Error-Bounded Correction of Noisy Labels/(Supp)	ICML	2020	Code
Learning with Feature-Dependent Label Noise: A Progressive Approach	ICLR	2021	Code
Joint Negative and Positive Learning for Noisy Labels	CVPR	2021	-
##Loss function
Robust Loss Functions under Label Noise for Deep Neural Networks	AAAI	2017	-
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels/(Supp)	NIPS	2018	Code
On Symmetric Losses for Learning from Corrupted Labels/(Supp)	ICML	2019	Code
Symmetric Cross Entropy for Robust Learning with Noisy Labels/(Supp)	ICCV	2019	Code
LDMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise	NIPS	2019	-
Normalized Loss Functions for Deep Learning with Noisy Labels/(Supp)	ICML	2020	Code
Asymmetric Loss Functions for Learning with Noisy Labels/(Supp)	ICML	2021	Code
Active Negative Loss Functions for Learning with Noisy Labels	NIPS	2023	Code
##Estimating the Transition Matrix
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach	CVPR	2017	Code
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise/(Supp)	NIPS	2018	-
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels/(Supp)	NIPS	2018	-
Are Anchor Points Really Indispensable in Label-Noise Learning?/(Supp)	NIPS	2019	Code
Provably End-to-end Label-noise Learning without Anchor Points/(Supp)	ICML	2021	Code

Instance-dependent Label Noise

Noise Type: (1) Part-dependent label noise (PLN); (2) Classification-based label noise (CLN).

Title	Venue	Year	Code	Noise
Learning from Binary Labels with Instance-dependent Noise	ML	2018	-	-
Learning with Bounded Instance- and Label-dependent Label Noise/(Supp)	ICML	2020	-	-
Part-dependent Label Noise: Towards Instance-dependent Label Noise/(Supp)	NIPS	2020	Code	PLN
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise	AAAI	2021	Code	CLN
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model	AAAI	2021	Code	-
Confidence Scores Make Instance-dependent Label-noise Learning Possible	ICML	2021	Code	-
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach	ICLR	2021	Code	PLN
A Second-Order Approach to Learning with Instance-Dependent Label Noise/(Supp)	CVPR	2021	Code	PLN
Instance-Dependent Label-Noise Learning under Structural Causal Models/(Supp)	NIPS	2021	Code	PLN
Learning with Feature-Dependent Label Noise: A Progressive Approach	ICLR	2021	Code	CLN
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation	CVPR	2022	Code	PLN
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels	ECCV	2022	Code	PLN,CLN
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration	ACMMM	2022	-	CLN
An Information Fusion Approach to Learning with Instance-Dependent Label Noise	ICLR	2022	-	PLN
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network	ICML	2022	Code	PLN
A Parametrical Model for Instance-Dependent Label Noise	TPAMI	2023	-	PLN
DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction	CVPR	2023	Code	-
Instance-Dependent Noisy Label Learning via Graphical Modelling/(Supp)	WACV	2023	Code	PLN
Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation	ECCV	2024	Code	-
A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy Labels	TPAMI	2024	-	-
Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom	NIPS	2024	-	-
Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization	KDD	2024	-	PLN
Confidence-Based PU Learning With Instance-Dependent Label Noise	TNNLS	2025	-	-
Instance-Dependent Inaccurate Label Distribution Learning	TNNLS	2025	-	-
Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation	TNNLS	2025	Code	-
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model	ML	2025	Code	-
			Code

Instance-dependent Partial Label Learning

Title	Venue	Year	Code
Instance-Dependent Partial Label Learning/(Supp)	NIPS	2021	Code
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning	IJCAI	2022	Code
Progressive Purification for Instance-Dependent Partial Label Learning	ICML	2023	Code
Decompositional Generation Process for Instance-Dependent Partial Label Learning	ICLR	2023	Code
Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning	ICCV	2023	Code
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning	AAAI	2023	Code
Variational Label Enhancement for Instance-Dependent Partial Label Learning	TPAMI	2024	Code
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning	arXiv	2024	-
Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning	KDD	2025	Code
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization	AAAI	2025	-

Deep Partial Label Learning

Title	Venue	Year	Code
Provably Consistent Partial-Label Learning	NIPS	2020	-
Progressive Identification of True Labels for Partial-Label Learning/supp	ICML	2020	Code
Leveraged weighted loss for partial label learning/supp	ICML	2021	Code
Exploiting Class Activation Value for Partial-Label Learning	ICLR	2021	Code
Revisiting Consistency Regularization for Deep Partial Label Learning	ICML	2022	Code
PiCO Contrastive Label Disambiguation for Partial Label Learning	ICLR	2022	Code
Towards Effective Visual Representations for Partial-Label Learning	CVPR	2023	Code
Mutual Partial Label Learning with Competitive Label Noise	ICLR	2023	-
Robust Representation Learning for Unreliable Partial Label Learning	ArXiv	2023	-
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning	CVPR	2024	Code
Does Label Smoothing Help Deep Partial Label Learning	ICML	2024	Code
FairMatch Promoting Partial Label Learning by Unlabeled Samples	KDD	2024	Code
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning	AAAI	2024	-
On the Robustness of Average Losses for Partial-Label Learning	TPAMI	2024	-
Conformal Prediction for Partial Label Learning	AAAI	2025	Code
Realistic Evaluation of Deep Partial-Label Learning Algorithms	ICLR	2025	Code

Noise Multi-label Learning

Title	Venue	Year	Code
Weakly Supervised Image Classification through Noise Regularization	CVPR	2019	-
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning/(Supp)	NIPS	2022	Code
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise	TPAMI	2022	Code
Large Loss Matters in Weakly Supervised Multi-Label Classification	CVPR	2022	Code
Holistic Label Correction for Noisy Multi-Label Classification/(Supp)	ICCV	2023	Code
Co-Learning Meets Stitch-Up for Noisy Multi-Label Visual Recognition	TIP	2023	Code
UNM: A Universal Approach for Noisy Multi-label Learning	TKDE	2024	-
			Code

Multi-label Learning with partial labels (Missing Labels-MLL)

Title	Venue	Year	Code
Learning a Deep ConvNet for Multi-label Classification with Partial Labels	CVPR	2019	-
Interactive Multi-Label CNN Learning With Partial Labels/(Supp)	CVPR	2020	Code
Multi-label Classification with Partial Annotations using Class-aware Selective Loss/(Supp)	CVPR	2022	Code
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels	AAAI	2022	Code
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels	AAAI	2022	Code
Multi-label Classification with Partial Annotations using Class-aware Selective Loss	CVPR	2022	Code
Learning in imperfect environment: Multi-label classification with long-tailed distribution and partial labels	ICCV	2023	Code
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification/(Supp)	CVPR	2023	Code
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels	IJCV	2024	Code

Multi-label Learning with Single Positive

Title	Venue	Year	Code
Multi-Label Learning from Single Positive Labels	CVPR	2021	Code
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement	NeurIPS	2022	-
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning	ICML	2023	-
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels	ECCV	2022	Code
Large Loss Matters in Weakly Supervised Multi-Label Classification/(Supp)	CVPR	2022	Code
Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels	NeurIPS	2022	Code
Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning	CVPR Workshops	2024	-