confidence score

Using contradictions improves question answering systems ACL 2023 Variable-Based Calibration for Machine Learning Classifiers AAAI 2023 Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities ICML 2022 Confidence Score Based Conformer Speaker Adaptation for Speech Recognition Interspeech 2022 Confidence Score for Source-Free Unsupervised Domain Adaptation ICML 2022 D2U: Distance-to-Uniform Learning for Out-of-Scope Detection NAACL 2022 Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model AAAI 2022 Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning EMNLP 2022 Evaluating the Practical Utility of Confidence-score based Techniques for Unsupervised Open-world Classification ACL 2022 Igeood: An Information Geometry Approach to Out-of-Distribution Detection ICLR 2022 Local calibration: metrics and recalibration UAI 2022 Mitigating Neural Network Overconfidence with Logit Normalization ICML 2022 RED-ACE: Robust Error Detection for ASR using Confidence Embeddings EMNLP 2022 When and How Mixup Improves Calibration ICML 2022 Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP AAAI 2022 Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality NeurIPS 2021 Confidence Scores Make Instance-dependent Label-noise Learning Possible ICML 2021 Multi-view Inference for Relation Extraction with Uncertain Knowledge AAAI 2021 On Model Calibration for Long-Tailed Object Detection and Instance Segmentation NeurIPS 2021 PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding AAAI 2021 Post-Hoc Uncertainty Calibration for Domain Drift Scenarios CVPR 2021 Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering EMNLP 2021 Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction EMNLP 2020 Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks NeurIPS 2020 Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models EMNLP 2020