label smoothing

Does Label Smoothing Help Deep Partial Label Learning? ICML 2024 Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing EMNLP 2024 Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning ICML 2024 Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing EMNLP 2024 Improving self-training under distribution shifts via anchored confidence with theoretical guarantees NeurIPS 2024 MAFA: Managing False Negatives for Vision-Language Pre-training CVPR 2024 Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024 Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks NeurIPS 2024 SYSTRAN @ WMT24 Non-Repetitive Translation Task EMNLP 2024 The Role of n-gram Smoothing in the Age of Neural Networks NAACL 2024 Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks ICLR 2024 Uncertainty Aware Learning for Language Model Alignment ACL 2024 Utilizing an Ensemble Model with Anomalous Label Smoothing to Detect Generated Scientific Papers ACL 2024 ACLS: Adaptive and Conditional Label Smoothing for Network Calibration ICCV 2023 A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 2023 Class Adaptive Network Calibration CVPR 2023 Contrastive Open Set Recognition AAAI 2023 Do we need Label Regularization to Fine-tune Pre-trained Language Models? EACL 2023 Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors EMNLP 2023 Free Lunch for Domain Adversarial Training: Environment Label Smoothing ICLR 2023 GeoLS: Geodesic Label Smoothing for Image Segmentation MIDL 2023 Global Mixup: Eliminating Ambiguity with Clustering AAAI 2023 Improving RNN Transducer Acoustic Models for English Conversational Speech Recognition Interspeech 2023 In and Out-of-Domain Text Adversarial Robustness via Label Smoothing ACL 2023 Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels NeurIPS 2023