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How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers., , , , , and . ICML, OpenReview.net, (2024)Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem., and . ICML, volume 97 of Proceedings of Machine Learning Research, page 822-830. PMLR, (2019)Towards Understanding Learning in Neural Networks with Linear Teachers., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9313-9322. PMLR, (2021)On the inductive bias of neural networks for learning read-once DNFs., , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 255-265. PMLR, (2022)Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs., and . ICML, volume 70 of Proceedings of Machine Learning Research, page 605-614. PMLR, (2017)Efficient Learning of CNNs using Patch Based Features., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 2336-2356. PMLR, (2022)On the Inductive Bias of a CNN for Orthogonal Patterns Distributions., and . CoRR, (2020)Over-parameterization Improves Generalization in the XOR Detection Problem., and . CoRR, (2018)Low Latency Privacy Preserving Inference., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 812-821. PMLR, (2019)SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data., , , and . ICLR (Poster), OpenReview.net, (2018)