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Depth Separations in Neural Networks: What is Actually Being Separated?, , и . COLT, том 99 из Proceedings of Machine Learning Research, стр. 2664-2666. PMLR, (2019)How Many Neurons Does it Take to Approximate the Maximum?, , и . CoRR, (2023)A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance., , , и . CoRR, (2019)On the Quality of the Initial Basin in Overspecified Neural Networks., и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 774-782. JMLR.org, (2016)On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias., , и . NeurIPS, (2022)The Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks., , и . COLT, том 134 из Proceedings of Machine Learning Research, стр. 3889-3934. PMLR, (2021)Depth Separation in ReLU Networks for Approximating Smooth Non-Linear Functions., и . CoRR, (2016)The Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks., , и . CoRR, (2020)Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks., и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 2979-2987. PMLR, (2017)Spurious Local Minima are Common in Two-Layer ReLU Neural Networks., и . CoRR, (2017)