workshop

Towards Explaining Image-Based Distribution Shifts

Distribution shift can have fundamental consequences such as signaling a change in the operating environment or significantly reducing the accuracy of downstream models. Thus, understanding such distribution shifts is critical for examining and …

Deep Point Process Destructors

Hyperparameter Selection under Localized Label Noise via Corrupt Validation

Existing research on label noise often focuses on simple uniform or classconditional noise. However, in many real-world settings, label noise is often somewhat systematic rather than completely random. Thus, we first propose a novel label noise model …