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Neural Networks

11,723 papers

Papers per year

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Papers

Bayesian Learning of Neural Network Architectures AISTATS 2019
Deep Neural Networks Learn Non-Smooth Functions Effectively AISTATS 2019
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks AISTATS 2019
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach AISTATS 2019
On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition AISTATS 2019
Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent AISTATS 2019
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex AISTATS 2019
Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron AISTATS 2019
Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level AISTATS 2019
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling AISTATS 2019
Training a Spiking Neural Network with Equilibrium Propagation AISTATS 2019
Learning One-hidden-layer ReLU Networks via Gradient Descent AISTATS 2019
Calibrating Deep Convolutional Gaussian Processes AISTATS 2019
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning AISTATS 2019
Probabilistic Forecasting with Spline Quantile Function RNNs AISTATS 2019
Learning One-hidden-layer Neural Networks under General Input Distributions AISTATS 2019
A Geometric Perspective on the Transferability of Adversarial Directions AISTATS 2019
Distributional reinforcement learning with linear function approximation AISTATS 2019
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function AISTATS 2019
Correspondence Analysis Using Neural Networks AISTATS 2019
A recurrent Markov state-space generative model for sequences AISTATS 2019
Stochastic Nonconvex Optimization with Large Minibatches ALT 2019
Learning Neural Networks with Two Nonlinear Layers in Polynomial Time COLT 2019
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit COLT 2019
Depth Separations in Neural Networks: What is Actually Being Separated? COLT 2019