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

Graph-Based Self-Learning for Robust Person Re-Identification WACV 2023
You Are What You Annotate: Towards Better Models through Annotator Representations EMNLP 2023
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions ACL 2023
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning NIPS 2023
CTW: Confident Time-Warping for Time-Series Label-Noise Learning IJCAI 2023
Investigation of Music Emotion Recognition Based on Segmented Semi-Supervised Learning INTERSPEECH 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels IJCAI 2023
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features AAAI 2023
Why Does Sharpness-Aware Minimization Generalize Better Than SGD? NIPS 2023
Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning IJCAI 2023
Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping NIPS 2023
Binary Classification with Confidence Difference NIPS 2023
Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption IJCAI 2023
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? NIPS 2023
USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023
Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction EMNLP 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels AAAI 2023
Testing conventional wisdom (of the crowd) UAI 2023
Is Your Noise Correction Noisy? PLS: Robustness To Label Noise With Two Stage Detection WACV 2023
A Path to Simpler Models Starts With Noise NIPS 2023
Multilingual Content Moderation: A Case Study on Reddit EACL 2023
Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise AAAI 2023
Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels ICCV 2023
Holistic Label Correction for Noisy Multi-Label Classification ICCV 2023
SILT: Shadow-Aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels ICCV 2023