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model calibration

225 papers

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Co-occurring keywords

uncertainty quantification (1365) uncertainty estimation (639) large language model (12755) confidence calibration (173) temperature scaling (67) expected calibration error (44) language model (4573) neural network (6616) knowledge distillation (3680) label smoothing (107)

Papers

Deep Cascade Learning for Optimal Medical Image Feature Representation MLHC 2022
Attention Calibration for Transformer in Neural Machine Translation ACL 2021
DeepGaze IIE: Calibrated Prediction in and Out-of-Domain for State-of-the-Art Saliency Modeling ICCV 2021
Estimating Calibrated Individualized Survival Curves with Deep Learning AAAI 2021
On Calibration and Out-of-Domain Generalization NIPS 2021
Sample efficient learning of image-based diagnostic classifiers via probabilistic labels AISTATS 2021
Mitigating Political Bias in Language Models through Reinforced Calibration AAAI 2021
Simple and Effective Stochastic Neural Networks AAAI 2021
On the Effects of Transformer Size on In- and Out-of-Domain Calibration EMNLP 2021
Learning with Retrospection AAAI 2021
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation NIPS 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective NIPS 2021
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation ACL 2021
Revisiting the Calibration of Modern Neural Networks NIPS 2021
Diversity Matters When Learning From Ensembles NIPS 2021
Evidential Deep Learning for Open Set Action Recognition ICCV 2021
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation IJCNLP 2021
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models EACL 2021
Searching for Search Errors in Neural Morphological Inflection EACL 2021
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence NIPS 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods NIPS 2021
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances AAAI 2021
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation ACL 2021
Learning Neural Network Subspaces ICML 2021