conftrace_

label smoothing

108 papers

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LS

Co-occurring keywords

model calibration (232) data augmentation (3052) knowledge distillation (3725) neural machine translation (2310) text classification (6793) neural network (6616) representation learning (6206) language model (4599) temperature scaling (67) deep neural network (1803)

Papers

Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning EACL 2026
CURA: Clinical Uncertainty Risk Alignment for Language Model–Based Risk Prediction ACL 2026
Improving Sparse IMU-based Motion Capture with Motion Label Smoothing AAAI 2026
Posterior Label Smoothing for Node Classification AAAI 2026
Sujith Kanakkassery at AbjadMed: Imbalance-Aware Transformer Fine-tuning for Arabic Medical Text Classification EACL 2026
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition AAAI 2025
Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination ICCV 2025
Training Deep Neural Networks with Virtual Smoothing Classes AAAI 2025
CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning ICCV 2025
Uncertainty-Based Data-Wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification WACV 2025
Regularizing Hard Examples Improves Adversarial Robustness JMLR 2025
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes EACL 2024
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding COLING 2024
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees NIPS 2024
Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks NIPS 2024
Uncertainty Aware Learning for Language Model Alignment ACL 2024
MAFA: Managing False Negatives for Vision-Language Pre-training CVPR 2024
Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing EMNLP 2024
The Role of n-gram Smoothing in the Age of Neural Networks NAACL 2024
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024
Utilizing an Ensemble Model with Anomalous Label Smoothing to Detect Generated Scientific Papers ACL 2024
Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing EMNLP 2024
SYSTRAN @ WMT24 Non-Repetitive Translation Task EMNLP 2024
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels NIPS 2023
Temporal Label Smoothing for Early Event Prediction ICML 2023