conftrace_

temperature scaling

67 papers

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Also known as

TS

Co-occurring keywords

model calibration (232) uncertainty quantification (1393) knowledge distillation (3725) expected calibration error (46) uncertainty estimation (648) language model (4599) label smoothing (108) confidence calibration (183) calibration error (61) neural network (6616)

Papers

Program-Aided Reasoners (Better) Know What They Know NAACL 2024
Calibrating Language Models with Adaptive Temperature Scaling EMNLP 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely? NIPS 2024
Extreme Miscalibration and the Illusion of Adversarial Robustness ACL 2024
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration AAAI 2023
Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification AAAI 2023
Long Horizon Temperature Scaling ICML 2023
Distilling Calibrated Knowledge for Stance Detection ACL 2023
Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023
Calibration techniques for node classification using graph neural networks on medical image data MIDL 2023
The Importance of Calibration: Rethinking Confidence and Performance of Speech Multi-label Emotion Classifiers INTERSPEECH 2023
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling AAAI 2023
Curriculum Temperature for Knowledge Distillation AAAI 2023
Expectation consistency for calibration of neural networks UAI 2023
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates EMNLP 2022
On the Calibration of Massively Multilingual Language Models EMNLP 2022
Improved Gradient-Based Adversarial Attacks for Quantized Networks AAAI 2022
What Makes Graph Neural Networks Miscalibrated? NIPS 2022
Confidence Histograms for Model Reliability Analysis and Temperature Calibration MIDL 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense ICML 2022
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again NIPS 2022
Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification ACL 2022
Capture Human Disagreement Distributions by Calibrated Networks for Natural Language Inference ACL 2022
Contour-Hugging Heatmaps for Landmark Detection CVPR 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis EMNLP 2022