Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?

1 code implementation • 31 Jul 2023 • Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki

Detailed experiments have been conducted to study the robustness of self-supervised learning methods on distribution shifts and image corruptions.

Contrastive Learning Knowledge Distillation +2