confidence calibration

Proximity-Informed Calibration for Deep Neural Networks NeurIPS 2023 Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers ACL 2023 Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment IJCAI 2023 Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement EACL 2023 RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data EMNLP 2023 Sample-Dependent Adaptive Temperature Scaling for Improved Calibration AAAI 2023 The Box Size Confidence Bias Harms Your Object Detector WACV 2023 A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration CVPR 2022 Calibration of Machine Reading Systems at Scale ACL 2022 Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss AAAI 2022 Early Stopping Based on Unlabeled Samples in Text Classification ACL 2022 Mitigating Bias in Calibration Error Estimation AISTATS 2022 On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022 Re-Examining Calibration: The Case of Question Answering EMNLP 2022 Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold NAACL 2022 Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart CVPR 2022 Uncalibrated Models Can Improve Human-AI Collaboration NeurIPS 2022 Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration NeurIPS 2021 CODEs: Chamfer Out-of-Distribution Examples Against Overconfidence Issue ICCV 2021 Confidence Calibration for Domain Generalization Under Covariate Shift ICCV 2021 CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement CVPR 2021 Energy-Based Open-World Uncertainty Modeling for Confidence Calibration ICCV 2021 Improving Classifier Confidence using Lossy Label-Invariant Transformations AISTATS 2021 Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems AAAI 2021 Learning to Predict Trustworthiness with Steep Slope Loss NeurIPS 2021