conftrace_

confidence estimation

167 papers

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Also known as

CE

Co-occurring keywords

large language model (13587) uncertainty quantification (1393) confidence calibration (183) question answering (2963) model calibration (232) uncertainty estimation (648) hallucination detection (530) language model (4599) selective prediction (43) neural machine translation (2310)

Papers

Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates EMNLP 2022
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias AAAI 2022
Learning Confidence for Transformer-based Neural Machine Translation ACL 2022
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning ACL 2022
Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction AAAI 2021
Are We Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection? ICCV 2021
Learning Accurate Dense Correspondences and When To Trust Them CVPR 2021
Learning a Non-Blind Deblurring Network for Night Blurry Images CVPR 2021
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues IJCNLP 2021
Noisy-Labeled NER with Confidence Estimation NAACL 2021
Residual Energy-Based Models for End-to-End Speech Recognition INTERSPEECH 2021
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing IJCNLP 2021
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing ACL 2021
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example AAAI 2021
Can NLI Models Verify QA Systems’ Predictions? EMNLP 2021
S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation CVPR 2021
Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection CVPR 2021
Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning ICCV 2021
Confidence-Aware Learning for Deep Neural Networks ICML 2020
Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation ACL 2020
Non-Parametric Calibration for Classification AISTATS 2020
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization NIPS 2020
Certifying Confidence via Randomized Smoothing NIPS 2020
ProtoAttend: Attention-Based Prototypical Learning JMLR 2020
“None of the Above”: Measure Uncertainty in Dialog Response Retrieval ACL 2020