conftrace_

probability calibration

57 papers

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Co-occurring keywords

uncertainty quantification (1393) uncertainty estimation (648) large language model (13587) calibration error (61) multi-class classification (280) confidence calibration (183) model calibration (232) posterior probability (64) deep neural network (1803) language model (4599)

Papers

NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration AAAI 2023
Beyond probability partitions: Calibrating neural networks with semantic aware grouping NIPS 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability EMNLP 2023
On the Calibration of Probabilistic Classifier Sets AISTATS 2023
Obtaining Calibrated Probabilities with Personalized Ranking Models AAAI 2022
A geometric method for improved uncertainty estimation in real-time UAI 2022
Calibrating Deep Neural Networks by Pairwise Constraints CVPR 2022
Platt-Bin: Efficient Posterior Calibrated Training for NLP Classifiers ACL 2022
Answer-level Calibration for Free-form Multiple Choice Question Answering ACL 2022
Towards Improving Selective Prediction Ability of NLP Systems ACL 2022
Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification ICML 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking ICML 2021
Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right EMNLP 2021
Reliable Decisions with Threshold Calibration NIPS 2021
On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search EACL 2021
Local Temperature Scaling for Probability Calibration ICCV 2021
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration NIPS 2021
Posterior Calibrated Training on Sentence Classification Tasks ACL 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation NIPS 2020
Non-Parametric Calibration for Classification AISTATS 2020
Multivariate Probability Calibration with Isotonic Bernstein Polynomials IJCAI 2020
Improving Confidence Estimates for Unfamiliar Examples CVPR 2020
Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection from Audio Data INTERSPEECH 2019
Verified Uncertainty Calibration NIPS 2019