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Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift., , , and . NeurIPS, (2022)Permutation Equivariant Neural Functionals., , , , , , and . CoRR, (2023)Assessing Generalization of SGD via Disagreement., , , and . CoRR, (2021)Fantastic Generalization Measures and Where to Find Them., , , , and . ICLR, OpenReview.net, (2020)Predicting the Generalization Gap in Deep Networks with Margin Distributions., , , and . CoRR, (2018)Predicting the Generalization Gap in Deep Networks with Margin Distributions., , , and . ICLR (Poster), OpenReview.net, (2019)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)Learning Options via Compression., , , , and . NeurIPS, (2022)Fantastic Generalization Measures and Where to Find Them, , , , and . (2019)cite arxiv:1912.02178.Language as an Abstraction for Hierarchical Deep Reinforcement Learning., , , and . NeurIPS, page 9414-9426. (2019)