neural network optimization

Dropout as a Structured Shrinkage Prior ICML 2019 Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks ICCV 2019 ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019 Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds NeurIPS 2019 Efficient Multi-Domain Learning by Covariance Normalization CVPR 2019 Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent IJCAI 2019 Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias NeurIPS 2019 Fine-grained Optimization of Deep Neural Networks NeurIPS 2019 First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise NeurIPS 2019 Fully Learnable Group Convolution for Acceleration of Deep Neural Networks CVPR 2019 Generalization Bounds for Neural Networks via Approximate Description Length NeurIPS 2019 Generalized Batch Normalization: Towards Accelerating Deep Neural Networks AAAI 2019 Gradient Descent Provably Optimizes Over-parameterized Neural Networks ICLR 2019 Graph Element Networks: adaptive, structured computation and memory ICML 2019 G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space ICLR 2019 Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness IJCAI 2019 How to train your MAML ICLR 2019 Improving Neural Language Modeling via Adversarial Training ICML 2019 Information Aggregation for Multi-Head Attention with Routing-by-Agreement NAACL 2019 IRLAS: Inverse Reinforcement Learning for Architecture Search CVPR 2019 Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks CVPR 2019 Large Scale Structure of Neural Network Loss Landscapes NeurIPS 2019 Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization NeurIPS 2019 Learning Deep Transformer Models for Machine Translation ACL 2019 Learning One-hidden-layer Neural Networks under General Input Distributions AISTATS 2019