noisy label

Losses over Labels: Weakly Supervised Learning via Direct Loss Construction AAAI 2023 Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets EMNLP 2023 Mitigating Memorization of Noisy Labels by Clipping the Model Prediction ICML 2023 Mitigating Memorization of Noisy Labels via Regularization between Representations ICLR 2023 Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance EMNLP 2023 R-divergence for Estimating Model-oriented Distribution Discrepancy NeurIPS 2023 Retaining Beneficial Information from Detrimental Data for Neural Network Repair NeurIPS 2023 Rethinking Weak Supervision in Helping Contrastive Learning ICML 2023 RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval CVPR 2023 SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels ACL 2023 Sample-wise Label Confidence Incorporation for Learning with Noisy Labels ICCV 2023 Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels NeurIPS 2023 Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing WACV 2023 Towards Accelerated Model Training via Bayesian Data Selection NeurIPS 2023 Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? NeurIPS 2023 UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction MLHC 2023 Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data ACL 2023 When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method ICCV 2023 Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? ICCV 2023 Adversarial Learning from Crowds AAAI 2022 Ambiguous Images With Human Judgments for Robust Visual Event Classification NeurIPS 2022 Approximate Cluster Recovery from Noisy Labels COLT 2022 ASSIST: Towards Label Noise-Robust Dialogue State Tracking ACL 2022 Automatic Noisy Label Correction for Fine-Grained Entity Typing IJCAI 2022 Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data COLT 2022