1. Understanding intermediate layers using linear classifier probes;Alain,2016
2. A theoretical analysis of contrastive unsupervised representation learning;Arora,2019
3. Investigating the role of negatives in contrastive representation learning;Ash,2021
4. Learning representations by maximizing mutual information across views;Bachman,2019
5. On the surrogate gap between contrastive and supervised losses;Bao,2022