conftrace_

overparameterized network

33 papers

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gradient descent (11) neural tangent kernel (9) neural network (7) neural network optimization (7) generalization bound (6) relu network (4) convergence rate (4) convergence analysis (4) overparameterized neural network (3) training dynamics (3)

Papers

Low-loss connection of weight vectors: distribution-based approaches ICML 2020 Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality NeurIPS 2020 Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks ICLR 2020 Gradient Descent Finds Global Minima of Deep Neural Networks ICML 2019 Semi-flat minima and saddle points by embedding neural networks to overparameterization NeurIPS 2019 Uniform convergence may be unable to explain generalization in deep learning NeurIPS 2019 Learning Compact Neural Networks with Regularization ICML 2018 SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data ICLR 2018