neural network optimization

Neural Networks and Rational Functions ICML 2017 On Blackbox Backpropagation and Jacobian Sensing NeurIPS 2017 On the Flatness of Loss Surface for Two-layered ReLU Networks ACML 2017 On-the-fly Operation Batching in Dynamic Computation Graphs NeurIPS 2017 Relative Fisher Information and Natural Gradient for Learning Large Modular Models ICML 2017 Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network NeurIPS 2017 Stabilizing Training of Generative Adversarial Networks through Regularization NeurIPS 2017 Training Deep Networks without Learning Rates Through Coin Betting NeurIPS 2017 Training Quantized Nets: A Deeper Understanding NeurIPS 2017 Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features COLING 2016 A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NeurIPS 2016 CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NeurIPS 2016 Deep Learning Games NeurIPS 2016 Deep Residual Learning for Image Recognition CVPR 2016 Direct Feedback Alignment Provides Learning in Deep Neural Networks NeurIPS 2016 Dynamic Network Surgery for Efficient DNNs NeurIPS 2016 Early Stopping as Nonparametric Variational Inference AISTATS 2016 Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016 Learning Structured Sparsity in Deep Neural Networks NeurIPS 2016 Learning to learn by gradient descent by gradient descent NeurIPS 2016 Noisy Activation Functions ICML 2016 On the Quality of the Initial Basin in Overspecified Neural Networks ICML 2016 Optimal Architectures in a Solvable Model of Deep Networks NeurIPS 2016 Refining Architectures of Deep Convolutional Neural Networks CVPR 2016 Towards Automatically-Tuned Neural Networks AutoML 2016