Neural Network Optimization

Deep Neural Solver for Math Word Problems EMNLP 2017 Delta Networks for Optimized Recurrent Network Computation ICML 2017 Denoising Recurrent Neural Network for Deep Bidirectional LSTM Based Voice Conversion Interspeech 2017 Depth Separation for Neural Networks COLT 2017 Differentiable Scheduled Sampling for Credit Assignment ACL 2017 Dilated Recurrent Neural Networks NeurIPS 2017 Discrete Duration Model for Speech Synthesis Interspeech 2017 Dissipativity Theory for Nesterov’s Accelerated Method ICML 2017 EigenNet: Towards Fast and Structural Learning of Deep Neural Networks IJCAI 2017 Eigenvalue Decay Implies Polynomial-Time Learnability for Neural Networks NeurIPS 2017 Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NeurIPS 2017 Fast Video Classification via Adaptive Cascading of Deep Models CVPR 2017 Follow the Moving Leader in Deep Learning ICML 2017 Forward and Reverse Gradient-Based Hyperparameter Optimization ICML 2017 Gated End-to-End Memory Networks EACL 2017 Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models EMNLP 2017 Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs ICML 2017 Global Optimality in Neural Network Training CVPR 2017 Global SNR Estimation of Speech Signals for Unknown Noise Conditions Using Noise Adapted Non-Linear Regression Interspeech 2017 Gradient Descent Can Take Exponential Time to Escape Saddle Points NeurIPS 2017 Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression JMLR 2017 Highway-LSTM and Recurrent Highway Networks for Speech Recognition Interspeech 2017 How regularization affects the critical points in linear networks NeurIPS 2017 How to Escape Saddle Points Efficiently ICML 2017 Implicit Regularization in Matrix Factorization NeurIPS 2017