2022
Align Representations With Base: A New Approach to Self-Supervised Learning
CVPR 2022poster
Existing symmetric contrastive learning methods suffer from collapses (complete and dimensional) or quadratic complexity of objectives. Departure from these methods which maximize mutual information of two generated views, along either instance or feature dimension, the proposed paradigm introduces…