Neural Network Optimization

Trainable Greedy Decoding for Neural Machine Translation EMNLP 2017 Training Deep Networks without Learning Rates Through Coin Betting NeurIPS 2017 Training Quantized Nets: A Deeper Understanding NeurIPS 2017 Train longer, generalize better: closing the generalization gap in large batch training of neural networks NeurIPS 2017 Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs ICML 2017 Understanding Synthetic Gradients and Decoupled Neural Interfaces ICML 2017 Unit Selection with Hierarchical Cascaded Long Short Term Memory Bidirectional Recurrent Neural Nets Interspeech 2017 Unrolling the Shutter: CNN to Correct Motion Distortions CVPR 2017 Variants of RMSProp and Adagrad with Logarithmic Regret Bounds ICML 2017 Weighted Spatial Covariance Matrix Estimation for MUSIC Based TDOA Estimation of Speech Source Interspeech 2017 What to Do Next: Modeling User Behaviors by Time-LSTM IJCAI 2017 Why ADAGRAD Fails for Online Topic Modeling EMNLP 2017 Accelerated Stochastic Gradient Descent for Minimizing Finite Sums AISTATS 2016 A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights JMLR 2016 A DNN-HMM Approach to Story Segmentation Interspeech 2016 A Kronecker-factored approximate Fisher matrix for convolution layers ICML 2016 A Multi-Batch L-BFGS Method for Machine Learning NeurIPS 2016 A Template-Based Approach for Speech Synthesis Intonation Generation Using LSTMs Interspeech 2016 A Voice Conversion Mapping Function Based on a Stacked Joint-Autoencoder Interspeech 2016 Back to the Future: Radial Basis Function Networks Revisited AISTATS 2016 Barzilai-Borwein Step Size for Stochastic Gradient Descent NeurIPS 2016 benefits of depth in neural networks COLT 2016 Blockout: Dynamic Model Selection for Hierarchical Deep Networks CVPR 2016 Data Selection by Sequence Summarizing Neural Network in Mismatch Condition Training Interspeech 2016 Deep Gate Recurrent Neural Network ACML 2016