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Frontiers of Deep Learning

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Dormant Last read 2 days ago · last published 7 years ago · next check scheduled
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A New Perspective on Adversarial Perturbations

Jul 17, 2019 · Simons Institute for the Theory of Computing

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Provable Robustness Beyond Bound Propagation

Jul 17, 2019 · Simons Institute for the Theory of Computing

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Splitting Gradient Descent for Incremental Learning of Neural Architectures

Jul 17, 2019 · Simons Institute for the Theory of Computing

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Mad Max: Affine Spline Insights into Deep Learning

Jul 16, 2019 · Simons Institute for the Theory of Computing

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Computation in Very Wide Neural Networks

Jul 16, 2019 · Simons Institute for the Theory of Computing

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Training on the Test Set and Other Heresies

Jul 16, 2019 · Simons Institute for the Theory of Computing

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Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets

Jul 16, 2019 · Simons Institute for the Theory of Computing

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A Primal-dual Analysis of Margin Maximization by Steepest Descent Methods

Jul 16, 2019 · Simons Institute for the Theory of Computing

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On the Foundations of Deep Learning: SGD, Overparametrization, and Generalization

Jul 16, 2019 · Simons Institute for the Theory of Computing

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Size-free Generalization Bounds for Convolutional Neural Networks

Jul 15, 2019 · Simons Institute for the Theory of Computing

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