label smoothing

Knowledge Distillation ≈ Label Smoothing: Fact or Fallacy? EMNLP 2023 Label Smoothing for Emotion Detection (Student Abstract) AAAI 2023 LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization ACL 2023 Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers EMNLP 2023 Memorization-Dilation: Modeling Neural Collapse Under Noise ICLR 2023 Model Calibration in Dense Classification with Adaptive Label Perturbation ICCV 2023 Natural Language-Assisted Sign Language Recognition CVPR 2023 On the Pitfall of Mixup for Uncertainty Calibration CVPR 2023 Perception and Semantic Aware Regularization for Sequential Confidence Calibration CVPR 2023 Self-Evolution Learning for Discriminative Language Model Pretraining ACL 2023 Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks EMNLP 2023 Simplifying Neural Network Training Under Class Imbalance NeurIPS 2023 Temporal Label Smoothing for Early Event Prediction ICML 2023 Token-Level Self-Evolution Training for Sequence-to-Sequence Learning ACL 2023 Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation EMNLP 2022 Adversarial Unlearning: Reducing Confidence Along Adversarial Directions NeurIPS 2022 Are All Losses Created Equal: A Neural Collapse Perspective NeurIPS 2022 Better Supervisory Signals by Observing Learning Paths ICLR 2022 Boundary Smoothing for Named Entity Recognition ACL 2022 Capture Human Disagreement Distributions by Calibrated Networks for Natural Language Inference ACL 2022 Collective Relevance Labeling for Passage Retrieval NAACL 2022 Focus on the Target’s Vocabulary: Masked Label Smoothing for Machine Translation ACL 2022 Generating Repetitions with Appropriate Repeated Words NAACL 2022 Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing Interspeech 2022 Label Smoothing for Text Mining COLING 2022