4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 4 cited
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration
Ryan Soklaski, Michael Yee, Theodoros Tsiligkaridis
Diverse data augmentation strategies are a natural approach to improving robustness in computer vision models against unforeseen shifts in data distribution. However, the ability t…
cs.LG2022
Tools and Practices for Responsible AI Engineering
Ryan Soklaski, Justin Goodwin, Olivia Brown +2
Responsible Artificial Intelligence (AI) - the practice of developing, evaluating, and maintaining accurate AI systems that also exhibit essential properties such as robustness and…
cs.LG2021★ 1 cited
Improving Learning-to-Defer Algorithms Through Fine-Tuning
Naveen Raman, Michael Yee
The ubiquity of AI leads to situations where humans and AI work together, creating the need for learning-to-defer algorithms that determine how to partition tasks between AI and hu…