Learning-with-Noisy-Labels

A paper list (updated monthly) about learning with noisy labels.

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• Papers & Code

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Papers & Code

Year	Publication	Title	URLs
2023	ICLR	When Source-Free Domain Adaptation Meets Learning with Noisy Labels	[OpenReview] [arXiv] [Code]
2023	ICLR	A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond	[OpenReview] [Code]
2023	ICLR	Mitigating Memorization of Noisy Labels via Regularization between Representations	[OpenReview] [arXiv] [Code]
2023	ICLR	Free Lunch for Domain Adversarial Training: Environment Label Smoothing	[OpenReview] [arXiv] [Code]
2023	ICLR	Mutual Partial Label Learning with Competitive Label Noise	[OpenReview]
2023	ICLR	Leveraging Unlabeled Data to Track Memorization	[OpenReview] [arXiv] [Code]
2023	ICLR	The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers	[OpenReview]
2023	ICLR	Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization	[OpenReview] [Code]
2023	WACV	Adaptive Sample Selection for Robust Learning under Label Noise	[WACV] [arXiv] [Code]