conftrace_

expected calibration error

46 papers

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Also known as

ECE

Co-occurring keywords

model calibration (232) confidence calibration (183) large language model (13587) temperature scaling (67) uncertainty quantification (1393) confidence score (68) uncertainty estimation (648) confidence estimation (167) neural network calibration (6) calibration error (61)

Papers

Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024
Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification AAAI 2023
T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023
Soft Augmentation for Image Classification CVPR 2023
The Importance of Calibration: Rethinking Confidence and Performance of Speech Multi-label Emotion Classifiers INTERSPEECH 2023
Variable-Based Calibration for Machine Learning Classifiers AAAI 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023
Proximity-Informed Calibration for Deep Neural Networks NIPS 2023
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration AAAI 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NIPS 2023
Calibrating Student Models for Emotion-related Tasks EMNLP 2022
Local calibration: metrics and recalibration UAI 2022
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates EMNLP 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture NIPS 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration CVPR 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency ACL 2022
Confidence Calibration for Domain Generalization Under Covariate Shift ICCV 2021
Soft Calibration Objectives for Neural Networks NIPS 2021
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition NIPS 2021
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning ICML 2020
Calibration tests in multi-class classification: A unifying framework NIPS 2019