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Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning., , , , , , , , , and 6 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 170-190. PMLR, (2020)What is being transferred in transfer learning?, , and . NeurIPS, (2020)Sharpness-aware Minimization for Efficiently Improving Generalization., , , and . ICLR, OpenReview.net, (2021)Are wider nets better given the same number of parameters?, , and . ICLR, OpenReview.net, (2021)When Do Curricula Work?, , and . ICLR, OpenReview.net, (2021)Fantastic Generalization Measures and Where to Find Them., , , , and . ICLR, OpenReview.net, (2020)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). Trans. Mach. Learn. Res., (2023)In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning, , and . (2014)cite arxiv:1412.6614Comment: 9 pages, 2 figures.Observational Overfitting in Reinforcement Learning., , , , and . ICLR, OpenReview.net, (2020)The intriguing role of module criticality in the generalization of deep networks., , and . CoRR, (2019)