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Neural Network Optimization

3648 directly classified papers

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Papers

Optimal Architectures in a Solvable Model of Deep Networks NIPS 2016
Deeply-Recursive Convolutional Network for Image Super-Resolution CVPR 2016
Learning Structured Sparsity in Deep Neural Networks NIPS 2016
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences NIPS 2016
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations NIPS 2016
Deep Learning without Poor Local Minima NIPS 2016
A Universal Catalyst for First-Order Optimization NIPS 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting NIPS 2015
Deeply Learning the Messages in Message Passing Inference NIPS 2015
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets NIPS 2015
Learning with Incremental Iterative Regularization NIPS 2015
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks NIPS 2015
Preconditioned Spectral Descent for Deep Learning NIPS 2015
Recurrent Convolutional Neural Network for Object Recognition CVPR 2015
Gradient Estimation Using Stochastic Computation Graphs NIPS 2015
Deep learning with Elastic Averaging SGD NIPS 2015
Accelerated Proximal Gradient Methods for Nonconvex Programming NIPS 2015
Bayesian dark knowledge NIPS 2015
Local Smoothness in Variance Reduced Optimization NIPS 2015
Natural Neural Networks NIPS 2015
HONOR: Hybrid Optimization for NOn-convex Regularized problems NIPS 2015
StopWasting My Gradients: Practical SVRG NIPS 2015
Equilibrated adaptive learning rates for non-convex optimization NIPS 2015
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NIPS 2015
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization NIPS 2015