conftrace_

label noise

498 papers

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Co-occurring keywords

noisy label (321) noisy label learning (163) deep neural network (1803) semi-supervised learning (2341) weakly supervised learning (1328) text classification (6793) image classification (1944) data augmentation (3052) representation learning (6206) active learning (1301)

Papers

Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels ICCV 2023
Graph-Based Self-Learning for Robust Person Re-Identification WACV 2023
Holistic Label Correction for Noisy Multi-Label Classification ICCV 2023
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria AAAI 2023
SILT: Shadow-Aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels ICCV 2023
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups ICCV 2023
Label-Noise Learning with Intrinsically Long-Tailed Data ICCV 2023
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing ACL 2023
Corruption-Tolerant Algorithms for Generalized Linear Models AAAI 2023
Testing conventional wisdom (of the crowd) UAI 2023
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels WACV 2023
Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise AAAI 2023
Shortest Program Interpolation Learning COLT 2023
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction EACL 2023
Adaptive Sample Selection for Robust Learning Under Label Noise WACV 2023
Rethinking Label Refurbishment: Model Robustness under Label Noise AAAI 2023
Identifiability of Label Noise Transition Matrix ICML 2023
Delving into Noisy Label Detection with Clean Data ICML 2023
Why Does Sharpness-Aware Minimization Generalize Better Than SGD? NIPS 2023
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? NIPS 2023
Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping NIPS 2023
Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning IJCAI 2023
Erratum: Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2023
Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval ICCV 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples ICCV 2023