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Lookahead Optimizer: k steps forward, 1 step back., , , и . NeurIPS, стр. 9593-9604. (2019)Do Deep Nets Really Need to be Deep?, и . NIPS, стр. 2654-2662. (2014)Reversible Recurrent Neural Networks., , , и . NeurIPS, стр. 9043-9054. (2018)Learning Domain Invariant Representations in Goal-conditioned Block MDPs., , , , , и . NeurIPS, стр. 764-776. (2021)When does preconditioning help or hurt generalization?, , , , , , , и . ICLR, OpenReview.net, (2021)LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning., , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 11251-11262. PMLR, (2021)OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text., , , и . CoRR, (2023)Decomposed Prompting to Answer Questions on a Course Discussion Board., , , , , и . AIED (Posters/Late Breaking Results/...), том 1831 из Communications in Computer and Information Science, стр. 218-223. Springer, (2023)Solving Approximate Wasserstein GANs to Stationarity., , , и . CoRR, (2018)Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions., , , и . CoRR, (2015)