Learn-By-Calibrating: Using Calibration As A Training Objective
- Jayaraman J. Thiagarajan
- Bindya Venkatesh
- et al.
- 2020
- ICASSP 2020
Publications
77 results for Uncertainty Quantification
Towards Automating the AI Operations Lifecycle
- Matthew Arnold
- Jeffrey Boston
- et al.
- 2020
- MLSys 2020
Crowd counting with decomposed uncertainty
- Min Hwan Oh
- Peder Olsen
- et al.
- 2020
- AAAI 2020
Building calibrated deep models via uncertainty matching with auxiliary interval predictors
- Jayaraman J. Thiagarajan
- Bindya Venkatesh
- et al.
- 2020
- AAAI 2020
Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making
- Yunfeng Zhang
- Q. Vera Liao
- et al.
- 2020
- FAccT 2020
Counting the Number of Optimal Solutions in Graphical Models
- Radu Marinescu
- Rina Dechter
- 2019
- NeurIPS 2019
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
- 2019
- NeurIPS 2019