label smoothing

Learning Confidence for Transformer-based Neural Machine Translation ACL 2022 On Mixup Regularization JMLR 2022 On the Calibration of Massively Multilingual Language Models EMNLP 2022 On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency ACL 2022 Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation ACL 2022 Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? ICML 2022 Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization NeurIPS 2022 The Devil Is in the Margin: Margin-Based Label Smoothing for Network Calibration CVPR 2022 To Smooth or Not? When Label Smoothing Meets Noisy Labels ICML 2022 ASR Posterior-Based Loss for Multi-Task End-to-End Speech Translation Interspeech 2021 Combining Ensembles and Data Augmentation Can Harm Your Calibration ICLR 2021 Discriminative Self-Training for Punctuation Prediction Interspeech 2021 Diversifying Dialog Generation via Adaptive Label Smoothing ACL 2021 From Label Smoothing to Label Relaxation AAAI 2021 Improving Calibration for Long-Tailed Recognition CVPR 2021 Improving Calibration through the Relationship with Adversarial Robustness NeurIPS 2021 Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study ICLR 2021 Label Confusion Learning to Enhance Text Classification Models AAAI 2021 Locally Adaptive Label Smoothing Improves Predictive Churn ICML 2021 Node Dependent Local Smoothing for Scalable Graph Learning NeurIPS 2021 Noisy Self-Knowledge Distillation for Text Summarization NAACL 2021 On the Effects of Transformer Size on In- and Out-of-Domain Calibration EMNLP 2021 Regularizing Word Segmentation by Creating Misspellings Interspeech 2021 Self-Progressing Robust Training AAAI 2021 Smoothing and Shrinking the Sparse Seq2Seq Search Space NAACL 2021