56 citations · 61 across the 3 of their papers we have counts for
3 papers
Diagnosing Model Performance Under Distribution Shift
Tiffany Tianhui Cai, Hongseok Namkoong, Steve Yadlowsky
Prediction models can perform poorly when deployed to target distributions different from the training distribution. To understand these operational failure modes, we develop a met…
Understanding Robustness in Teacher-Student Setting: A New Perspective
Zhuolin Yang, Zhaoxi Chen, Tiffany Cai +3
Adversarial examples have appeared as a ubiquitous property of machine learning models where bounded adversarial perturbation could mislead the models to make arbitrarily incorrect…
Are all negatives created equal in contrastive instance discrimination?
Tiffany Tianhui Cai, Jonathan Frankle, David J. Schwab +1
Self-supervised learning has recently begun to rival supervised learning on computer vision tasks. Many of the recent approaches have been based on contrastive instance discriminat…