conftrace_

calibration error

61 papers

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Also known as

CE

Co-occurring keywords

uncertainty quantification (1393) large language model (13587) confidence calibration (183) model calibration (232) confidence estimation (167) temperature scaling (67) neural network (6616) uncertainty estimation (648) probability calibration (57) out-of-distribution detection (617)

Papers

Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty ACL 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024
Credal Deep Ensembles for Uncertainty Quantification NIPS 2024
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023
Word-level Confidence Estimation for CTC Models INTERSPEECH 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023
Soft Augmentation for Image Classification CVPR 2023
When Does Optimizing a Proper Loss Yield Calibration? NIPS 2023
TCE: A Test-Based Approach to Measuring Calibration Error UAI 2023
Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification ACL 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis EMNLP 2022
Platt-Bin: Efficient Posterior Calibrated Training for NLP Classifiers ACL 2022
Logit Mixing Training for More Reliable and Accurate Prediction IJCAI 2022
A Consistent and Differentiable Lp Canonical Calibration Error Estimator NIPS 2022
Better Uncertainty Calibration via Proper Scores for Classification and Beyond NIPS 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning NIPS 2022
Mitigating Bias in Calibration Error Estimation AISTATS 2022
Introspective Learning : A Two-Stage approach for Inference in Neural Networks NIPS 2022
Understanding Square Loss in Training Overparametrized Neural Network Classifiers NIPS 2022
A Data Cartography based MixUp for Pre-trained Language Models NAACL 2022
Calibration Error for Heterogeneous Treatment Effects AISTATS 2022
Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets EMNLP 2021
Uncertainty Quantification and Deep Ensembles NIPS 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking ICML 2021
Deep Neural Network Calibration for E2E Speech Recognition System INTERSPEECH 2021