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Neural Network Optimization

3648 directly classified papers

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Papers

Training Neural Networks Using Features Replay NIPS 2018
Adding One Neuron Can Eliminate All Bad Local Minima NIPS 2018
Sigsoftmax: Reanalysis of the Softmax Bottleneck NIPS 2018
How Does Batch Normalization Help Optimization? NIPS 2018
SLAYER: Spike Layer Error Reassignment in Time NIPS 2018
Regularizing by the Variance of the Activations' Sample-Variances NIPS 2018
Discrimination-aware Channel Pruning for Deep Neural Networks NIPS 2018
Large Margin Deep Networks for Classification NIPS 2018
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks NIPS 2018
State Gradients for RNN Memory Analysis INTERSPEECH 2018
Speech Intelligibility Enhancement Based on a Non-causal Wavenet-like Model INTERSPEECH 2018
Prediction of Perceived Speech Quality Using Deep Machine Listening INTERSPEECH 2018
Natasha 2: Faster Non-Convex Optimization Than SGD NIPS 2018
Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss NIPS 2018
Automatic differentiation in ML: Where we are and where we should be going NIPS 2018
Uniform Convergence of Gradients for Non-Convex Learning and Optimization NIPS 2018
Exact natural gradient in deep linear networks and its application to the nonlinear case NIPS 2018
Sharpness, Restart and Acceleration NIPS 2017
Deep Activation Mixture Model for Speech Recognition INTERSPEECH 2017
Weighted Spatial Covariance Matrix Estimation for MUSIC Based TDOA Estimation of Speech Source INTERSPEECH 2017
Social Signal Detection in Spontaneous Dialogue Using Bidirectional LSTM-CTC INTERSPEECH 2017
Accumulated Gradient Normalization ACML 2017
Sobolev Training for Neural Networks NIPS 2017
How regularization affects the critical points in linear networks NIPS 2017
Stochastic Mirror Descent in Variationally Coherent Optimization Problems NIPS 2017