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Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices.

, , , , and . CoRR, (2021)

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Machine Foveation: An Application-Aware Compressive Sensing Framework., , and . DCC, page 478-487. IEEE, (2019)Mechanistic Mode Connectivity., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 22965-23004. PMLR, (2023)Foundational Challenges in Assuring Alignment and Safety of Large Language Models., , , , , , , , , and 28 other author(s). CoRR, (2024)How Capable Can a Transformer Become? A Study on Synthetic, Interpretable Tasks., , , , and . CoRR, (2023)Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks., , , , , , , and . CoRR, (2023)A Gradient Flow Framework For Analyzing Network Pruning., and . ICLR, OpenReview.net, (2021)What shapes the loss landscape of self supervised learning?, , , and . ICLR, OpenReview.net, (2023)A Gradient Flow Framework For Analyzing Network Pruning., and . CoRR, (2020)Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task., , , and . CoRR, (2023)Analyzing Data-Centric Properties for Contrastive Learning on Graphs., , , , and . CoRR, (2022)