temperature scaling

Robust Calibration with Multi-domain Temperature Scaling NeurIPS 2022 Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis EMNLP 2022 What Makes Graph Neural Networks Miscalibrated? NeurIPS 2022 An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation ACL 2021 Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation IJCAI 2021 Local Temperature Scaling for Probability Calibration ICCV 2021 On the Effects of Transformer Size on In- and Out-of-Domain Calibration EMNLP 2021 Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence NeurIPS 2021 Soft Calibration Objectives for Neural Networks NeurIPS 2021 Calibrating Deep Neural Networks using Focal Loss NeurIPS 2020 Calibration of Pre-trained Transformers EMNLP 2020 Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks NeurIPS 2020 Verified Uncertainty Calibration NeurIPS 2019 Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks ICLR 2018 Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings ICML 2018 On Calibration of Modern Neural Networks ICML 2017