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cs.CV2022
Ambiguous Images With Human Judgments for Robust Visual Event Classification
Kate Sanders, Reno Kriz, Anqi Liu +1
Contemporary vision benchmarks predominantly consider tasks on which humans can achieve near-perfect performance. However, humans are frequently presented with visual data that the…
cs.LG2022
Repeated Environment Inference for Invariant Learning
Aayush Mishra, Anqi Liu
We study the problem of invariant learning when the environment labels are unknown. We focus on the invariant representation notion when the Bayes optimal conditional label distrib…
cs.LG2022
JAWS: Auditing Predictive Uncertainty Under Covariate Shift
Drew Prinster, Anqi Liu, Suchi Saria
We propose \textbf{JAWS}, a series of wrapper methods for distribution-free uncertainty quantification tasks under covariate shift, centered on the core method \textbf{JAW}, the \t…