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neural network theory

35 papers

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Co-occurring keywords

neural network (6616) neural network optimization (1293) gradient descent (1144) representation learning (6206) convolutional neural network (4226) feature learning (1311) activation function (133) relu network (143) theoretical analysis (97) learning theory (519)

Papers

Adversarial Examples in Multi-Layer Random ReLU Networks NIPS 2021
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NIPS 2021
Hierarchical nucleation in deep neural networks NIPS 2020
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020
Initialization of ReLUs for Dynamical Isometry NIPS 2019
Entropy and mutual information in models of deep neural networks NIPS 2018
Towards Understanding the Invertibility of Convolutional Neural Networks IJCAI 2017
Geometry of Neural Network Loss Surfaces via Random Matrix Theory ICML 2017
On the Representational Efficiency of Restricted Boltzmann Machines NIPS 2013
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results JMLR 2002