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Understanding Over-parameterization in Generative Adversarial Networks., , , , , , and . ICLR, OpenReview.net, (2021)Augmentations vs Algorithms: What Works in Self-Supervised Learning., , , , , , , , , and 1 other author(s). CoRR, (2024)Software Troubleshooting Using Machine Learning., , , , and . HiPC Workshops, page 3-10. IEEE, (2017)Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features., , , , and . AAAI, page 13031-13039. AAAI Press, (2024)Winning Lottery Tickets in Deep Generative Models., , and . AAAI, page 8038-8046. AAAI Press, (2021)Adapting Self-Supervised Representations to Multi-Domain Setups., , , , and . BMVC, page 353-355. BMVA Press, (2023)Identifying Interpretable Subspaces in Image Representations., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 15623-15638. PMLR, (2023)Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning., , , , , , and . CoRR, (2024)