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model calibration

225 papers

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Co-occurring keywords

uncertainty quantification (1365) uncertainty estimation (639) large language model (12755) confidence calibration (173) temperature scaling (67) expected calibration error (44) language model (4573) neural network (6616) knowledge distillation (3680) label smoothing (107)

Papers

Scaling of Class-wise Training Losses for Post-hoc Calibration ICML 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness AAAI 2023
Label Smoothing for Emotion Detection (Student Abstract) AAAI 2023
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing EMNLP 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration ICML 2023
Class Adaptive Network Calibration CVPR 2023
Cut your Losses with Squentropy ICML 2023
Dual Focal Loss for Calibration ICML 2023
Test-time Augmentation for Factual Probing EMNLP 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction NIPS 2023
On Calibrating Semantic Segmentation Models: Analyses and an Algorithm CVPR 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023
Bayes at FigLang 2022 Euphemism Detection shared task: Cost-Sensitive Bayesian Fine-tuning and Venn-Abers Predictors for Robust Training under Class Skewed Distributions EMNLP 2022
Boundary Smoothing for Named Entity Recognition ACL 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency ACL 2022
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence EMNLP 2022
Calibrating Zero-shot Cross-lingual (Un-)structured Predictions EMNLP 2022
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates EMNLP 2022
On the Calibration of Massively Multilingual Language Models EMNLP 2022
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation EMNLP 2022
Calibrating Student Models for Emotion-related Tasks EMNLP 2022
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model EMNLP 2022
Re-Examining Calibration: The Case of Question Answering EMNLP 2022
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation EMNLP 2022