Two simple ways to learn individual fairness metrics from data
- Debarghya Mukherjee
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
Publications
782 results for Trustworthy AI
Do You Sign Your Model?
- Omid Aramoon
- Pin-Yu Chen
- et al.
- 2020
- ICML 2020
Chi-square Information for Invariant Learning
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2020
- ICML 2020
Leveraging Simple Model Predictions for Enhancing its Performance
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
- Michael Hind
- Dennis Wei
- et al.
- 2020
- ICML 2020
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI
- Richard Tomsett
- Alun Preece
- et al.
- 2020
- Patterns
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
- Tianlong Chen
- Sijia Liu
- et al.
- 2020
- CVPR 2020
Non-Adversarial Video Synthesis with Learned Priors
- Abhishek Aich
- Akash Gupta
- et al.
- 2020
- CVPR 2020
Towards verifying robustness of neural networks against a family of semantic perturbations
- Jeet Mohapatra
- Tsui Wei Weng
- et al.
- 2020
- CVPR 2020
Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity
- 2020
- Scientific Reports