conftrace_

noise-robust training

10 papers

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Co-occurring keywords · papers mentioning both

noisy label (3) label noise (3) large language model (2) loss function (2) text classification (2) sequence loss (1) fine-grained description (1) generalization improvement (1) dynamic loss function (1) distantly supervised named entity recognition (1)

Papers

TVHighlights: LLM-Guided Human-Free Collaborative Training for Video Highlight Detection in Movies and TV Dramas CVPR 2026 Learning to Describe Implicit Changes: Noise-robust Pre-training for Image Difference Captioning EMNLP 2025 SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness AAAI 2025 Noise-Robust Training with Dynamic Loss and Contrastive Learning for Distantly-Supervised Named Entity Recognition ACL 2023 Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation NAACL 2022 Federated Learning with Noisy User Feedback NAACL 2022 Instance-adaptive training with noise-robust losses against noisy labels EMNLP 2021 SuperLoss: A Generic Loss for Robust Curriculum Learning NeurIPS 2020 Training Noise-Robust Deep Neural Networks via Meta-Learning CVPR 2020 Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction AAAI 2019