Co-occurring keywords · papers mentioning both
Papers
Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution
CVPR 2023
Variational Boosted Soft Trees
AISTATS 2023
Better Uncertainty Calibration via Proper Scores for Classification and Beyond
NeurIPS 2022
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures
CVPR 2022
Uncertainty Calibration for Deep Audio Classifiers
Interspeech 2022
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
Bayesian Inference with Certifiable Adversarial Robustness
AISTATS 2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
CVPR 2021
Calibrate your listeners! Robust communication-based training for pragmatic speakers
EMNLP 2021
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
AISTATS 2021
Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization
UAI 2021
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
ICLR 2021
Post-Hoc Uncertainty Calibration for Domain Drift Scenarios
CVPR 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
ICCV 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods
NeurIPS 2021
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
ICML 2020
Improving model calibration with accuracy versus uncertainty optimization
NeurIPS 2020
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles
AAAI 2020
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
ICML 2020
Stationary Activations for Uncertainty Calibration in Deep Learning
NeurIPS 2020
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning
MIDL 2020
Calibrated Model-Based Deep Reinforcement Learning
ICML 2019
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation
UAI 2019
Accurate Uncertainties for Deep Learning Using Calibrated Regression
ICML 2018