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Neural Network Optimization

3,649 papers

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Papers

Model Adaptation and Active Learning in the BBN Speech Activity Detection System for the DARPA RATS Program INTERSPEECH 2016
End-to-End Training of Deep Visuomotor Policies JMLR 2016
How to Center Deep Boltzmann Machines JMLR 2016
On Lower and Upper Bounds in Smooth and Strongly Convex Optimization JMLR 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights JMLR 2016
On the Influence of Momentum Acceleration on Online Learning JMLR 2016
Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption JMLR 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting NIPS 2015
Learning with Incremental Iterative Regularization NIPS 2015
Training Very Deep Networks NIPS 2015
Local Smoothness in Variance Reduced Optimization NIPS 2015
Natural Neural Networks NIPS 2015
Equilibrated adaptive learning rates for non-convex optimization NIPS 2015
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization NIPS 2015
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NIPS 2015
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets NIPS 2015
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NIPS 2015
StopWasting My Gradients: Practical SVRG NIPS 2015
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks NIPS 2015
Bayesian dark knowledge NIPS 2015
A Universal Catalyst for First-Order Optimization NIPS 2015
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants NIPS 2015
Deep learning with Elastic Averaging SGD NIPS 2015
Deeply Learning the Messages in Message Passing Inference NIPS 2015
Gradient Estimation Using Stochastic Computation Graphs NIPS 2015