Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources
- Yun Yun Tsai
- Pin-Yu Chen
- et al.
- 2020
- ICML 2020
Conference paper
Publications
963 results for Trustworthy AI
Distributionally robust policy evaluation and learning in offline contextual bandits
- Nian Si
- Fan Zhang
- et al.
- 2020
- ICML 2020
Conference paperChi-square Information for Invariant Learning
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2020
- ICML 2020
Workshop paperConsumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
- Michael Hind
- Dennis Wei
- et al.
- 2020
- ICML 2020
Workshop paperDo You Sign Your Model?
- Omid Aramoon
- Pin-Yu Chen
- et al.
- 2020
- ICML 2020
Workshop paperLeveraging Simple Model Predictions for Enhancing its Performance
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Workshop paperRapid Trust Calibration through Interpretable and Uncertainty-Aware AI
- Richard Tomsett
- Alun Preece
- et al.
- 2020
- Patterns
ReviewNon-Adversarial Video Synthesis with Learned Priors
- Abhishek Aich
- Akash Gupta
- et al.
- 2020
- CVPR 2020
Conference paperAdversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
- Tianlong Chen
- Sijia Liu
- et al.
- 2020
- CVPR 2020
Conference paperTowards verifying robustness of neural networks against a family of semantic perturbations
- Jeet Mohapatra
- Tsui Wei Weng
- et al.
- 2020
- CVPR 2020
Conference paper