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uncertainty calibration

58 papers

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Also known as

UC

Co-occurring keywords

uncertainty quantification (1393) large language model (13587) model calibration (232) variational inference (2069) ensemble learning (1274) temperature scaling (67) predictive uncertainty (79) out-of-distribution detection (617) ensemble method (564) gaussian process (1200)

Papers

On the Pitfall of Mixup for Uncertainty Calibration CVPR 2023
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach AISTATS 2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study EMNLP 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction NIPS 2023
Heteroskedastic Geospatial Tracking with Distributed Camera Networks UAI 2023
Variational Boosted Soft Trees AISTATS 2023
Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution CVPR 2023
Calibrating Uncertainty for Semi-Supervised Crowd Counting ICCV 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection EMNLP 2023
Better Uncertainty Calibration via Proper Scores for Classification and Beyond NIPS 2022
Uncertainty Calibration for Deep Audio Classifiers INTERSPEECH 2022
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures CVPR 2022
Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization UAI 2021
Bayesian Inference with Certifiable Adversarial Robustness AISTATS 2021
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain AISTATS 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition ICCV 2021
Calibrate your listeners! Robust communication-based training for pragmatic speakers EMNLP 2021
Post-Hoc Uncertainty Calibration for Domain Drift Scenarios CVPR 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods NIPS 2021
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation IJCNLP 2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation ACL 2021
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning MIDL 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks ICML 2020