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Neural Network Optimization

3648 directly classified papers

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Papers

A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds ALT 2017
Gradient Descent Can Take Exponential Time to Escape Saddle Points NIPS 2017
Nonlinear Acceleration of Stochastic Algorithms NIPS 2017
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NIPS 2017
Deep Neural Machine Translation with Linear Associative Unit ACL 2017
Annealed f-Smoothing as a Mechanism to Speed up Neural Network Training INTERSPEECH 2017
Training Deep Networks without Learning Rates Through Coin Betting NIPS 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning NIPS 2017
Train longer, generalize better: closing the generalization gap in large batch training of neural networks NIPS 2017
Convergence Analysis of Two-layer Neural Networks with ReLU Activation NIPS 2017
Joint Training of Expanded End-to-End DNN for Text-Dependent Speaker Verification INTERSPEECH 2017
A Nested Attention Neural Hybrid Model for Grammatical Error Correction ACL 2017
Towards Generalization and Simplicity in Continuous Control NIPS 2017
Runtime Neural Pruning NIPS 2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models NIPS 2017
All You Need Is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks With Orthonormality and Modulation CVPR 2017
Global SNR Estimation of Speech Signals for Unknown Noise Conditions Using Noise Adapted Non-Linear Regression INTERSPEECH 2017
Unit Selection with Hierarchical Cascaded Long Short Term Memory Bidirectional Recurrent Neural Nets INTERSPEECH 2017
On orthogonality and learning recurrent networks with long term dependencies ICML 2017
More Is Less: A More Complicated Network With Less Inference Complexity CVPR 2017
Discrete Duration Model for Speech Synthesis INTERSPEECH 2017
Robustness Over Time-Varying Channels in DNN-HMM ASR Based Human-Robot Interaction INTERSPEECH 2017
Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping INTERSPEECH 2017
Preventing Gradient Explosions in Gated Recurrent Units NIPS 2017
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation CVPR 2017