Search Results for author:
Found 3 papers, 1 papers with code
The importance of transparency and reproducibility in artificial intelligence research
In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening.
Applications
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
Despite the success of machine learning applications in science, industry, and society in general, many approaches are known to be non-robust, often relying on spurious correlations to make predictions.
Ranked #1 on
Out-of-Distribution Generalization
on UrbanCars
Extracting Expert's Goals by What-if Interpretable Modeling
Although reinforcement learning (RL) has tremendous success in many fields, applying RL to real-world settings such as healthcare is challenging when the reward is hard to specify and no exploration is allowed.
