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Neural Network Optimization

3648 directly classified papers

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Papers

Neural Paraphrase Generation with Stacked Residual LSTM Networks COLING 2016
Optimal Learning for Multi-pass Stochastic Gradient Methods NIPS 2016
Improved Neural Network Initialization by Grouping Context-Dependent Targets for Acoustic Modeling INTERSPEECH 2016
Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption JMLR 2016
Measuring the Information Content of Financial News COLING 2016
Multidimensional Residual Learning Based on Recurrent Neural Networks for Acoustic Modeling INTERSPEECH 2016
End-to-End Training of Deep Visuomotor Policies JMLR 2016
On the Influence of Momentum Acceleration on Online Learning JMLR 2016
Accelerated Stochastic Gradient Descent for Minimizing Finite Sums AISTATS 2016
Stochastic Variance Reduction for Nonconvex Optimization ICML 2016
Hyperparameter optimization with approximate gradient ICML 2016
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives ICML 2016
Train faster, generalize better: Stability of stochastic gradient descent ICML 2016
Solving Ridge Regression using Sketched Preconditioned SVRG ICML 2016
How to Center Deep Boltzmann Machines JMLR 2016
A Kronecker-factored approximate Fisher matrix for convolution layers ICML 2016
Noisy Activation Functions ICML 2016
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization NIPS 2016
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin ICML 2016
Back to the Future: Radial Basis Function Networks Revisited AISTATS 2016
Memory-Efficient Backpropagation Through Time NIPS 2016
Direct Feedback Alignment Provides Learning in Deep Neural Networks NIPS 2016
DeepMath - Deep Sequence Models for Premise Selection NIPS 2016
Refining Architectures of Deep Convolutional Neural Networks CVPR 2016
Model Adaptation and Active Learning in the BBN Speech Activity Detection System for the DARPA RATS Program INTERSPEECH 2016