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How connectivity structure shapes rich and lazy learning in neural circuits., , , , , и . CoRR, (2023)Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods., , , , , и . Trans. Mach. Learn. Res., (2023)Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons., , , , , и . CoRR, (2024)A3T: Adversarially Augmented Adversarial Training., , , и . CoRR, (2018)Mutual Information Neural Estimation., , , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 530-539. PMLR, (2018)On the Spectral Bias of Neural Networks., , , , , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 5301-5310. PMLR, (2019)On the Spectral Bias of Neural Networks, , , , , , , и . (2018)cite arxiv:1806.08734Comment: 23 pages.How connectivity structure shapes rich and lazy learning in neural circuits., , , , , и . ICLR, OpenReview.net, (2024)A Modern Take on the Bias-Variance Tradeoff in Neural Networks., , , , , , и . CoRR, (2018)MINE: Mutual Information Neural Estimation, , , , , , и . (2018)cite arxiv:1801.04062Comment: 19 pages, 6 figures.