Learning with noisy labels

Learning with noisy labels means When we say "noisy labels," we mean that an adversary has intentionally messed up the labels, which would have come from a "clean" distribution otherwise. This setting can also be used to cast learning from only positive and unlabeled data.

Papers

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Showing 226–249 of 249 papers

Title	Date	Tasks	Status	Hype
O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks	Oct 1, 2019	Active LearningLearning with noisy labels	—Unverified	0
A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels	Sep 20, 2019	Learning with noisy labels	—Unverified	0
L_DMI: An Information-theoretic Noise-robust Loss Function	Sep 8, 2019	Image ClassificationLearning with noisy labels	CodeCode Available	0
Learning with Noisy Labels for Sentence-level Sentiment Classification	Aug 31, 2019	ClassificationGeneral Classification	—Unverified	0
Symmetric Cross Entropy for Robust Learning with Noisy Labels	Aug 16, 2019	Image ClassificationLearning with noisy labels	CodeCode Available	0
Deep Self-Learning From Noisy Labels	Aug 6, 2019	Image ClassificationLearning with noisy labels	—Unverified	0
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning	Jun 15, 2019	Deep LearningImage Classification	CodeCode Available	0
Are Anchor Points Really Indispensable in Label-Noise Learning?	Jun 1, 2019	Learning with noisy labels	CodeCode Available	0
Learning to Detect and Retrieve Objects from Unlabeled Videos	May 27, 2019	ClusteringLearning with noisy labels	CodeCode Available	0
A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels	Mar 25, 2019	Learning with noisy labels	—Unverified	0
Unifying semi-supervised and robust learning by mixup	Mar 24, 2019	Learning with noisy labels	—Unverified	0
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels	Mar 19, 2019	Image ClassificationLearning with noisy labels	CodeCode Available	0
Safeguarded Dynamic Label Regression for Generalized Noisy Supervision	Mar 6, 2019	Image ClassificationLearning with noisy labels	CodeCode Available	0
How does Disagreement Help Generalization against Label Corruption?	Jan 14, 2019	Learning with noisy labelsMemorization	CodeCode Available	0
Learning to Learn from Noisy Labeled Data	Dec 13, 2018	image-classificationImage Classification	CodeCode Available	0
Limited Gradient Descent: Learning With Noisy Labels	Nov 20, 2018	Learning with noisy labelsMemorization	—Unverified	0
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust	Sep 28, 2018	Learning with noisy labelsMemorization	CodeCode Available	0
Randomized Wagering Mechanisms	Sep 11, 2018	Learning with noisy labels	—Unverified	0
Dimensionality-Driven Learning with Noisy Labels	Jun 7, 2018	Image ClassificationLearning with noisy labels	CodeCode Available	0
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels	May 20, 2018	Image ClassificationLearning with noisy labels	CodeCode Available	1
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels	Apr 18, 2018	Image ClassificationLearning with noisy labels	CodeCode Available	1
Joint Optimization Framework for Learning with Noisy Labels	Mar 30, 2018	General Classificationimage-classification	CodeCode Available	0
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach	Sep 13, 2016	DiversityImage Classification	CodeCode Available	0
Learning with Noisy Labels	Dec 1, 2013	Binary ClassificationGeneral Classification	—Unverified	0

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