CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning

no code implementations • 5 Feb 2023 • Xia Xu, Jochen Triesch

In recent studies, augmentation-based contrastive learning methods have been proposed for learning representations that are invariant or equivariant to pre-defined data augmentation operations.

Contrastive Learning Data Augmentation +1

Contrastive Learning Through Time

no code implementations • NeurIPS Workshop SVRHM 2021 • Felix Schneider, Xia Xu, Markus Roland Ernst, Zhengyang Yu, Jochen Triesch

We propose a family of CLTT algorithms based on state-of-the-art contrastive learning methods and test them on three data sets.

Contrastive Learning Representation Learning