Optimization & Theory

Scaling Neural Machine Translation EMNLP 2018 Scaling provable adversarial defenses NeurIPS 2018 Searching for Efficient Multi-Scale Architectures for Dense Image Prediction NeurIPS 2018 SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud ACML 2018 Seeing Small Faces From Robust Anchor's Perspective CVPR 2018 Self-Governing Neural Networks for On-Device Short Text Classification EMNLP 2018 Self-Normalization Properties of Language Modeling COLING 2018 Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks Interspeech 2018 SGD and Hogwild! Convergence Without the Bounded Gradients Assumption ICML 2018 Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions CVPR 2018 Simple Recurrent Units for Highly Parallelizable Recurrence EMNLP 2018 Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks EMNLP 2018 Single-Channel Dereverberation Using Direct MMSE Optimization and Bidirectional LSTM Networks Interspeech 2018 Smoothed analysis of the low-rank approach for smooth semidefinite programs NeurIPS 2018 Snap ML: A Hierarchical Framework for Machine Learning NeurIPS 2018 Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks IJCAI 2018 Spatially-Adaptive Filter Units for Deep Neural Networks CVPR 2018 Spectral Filtering for General Linear Dynamical Systems NeurIPS 2018 Speeding Up Neural Machine Translation Decoding by Cube Pruning EMNLP 2018 SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator NeurIPS 2018 Spotlight: Optimizing Device Placement for Training Deep Neural Networks ICML 2018 SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation IJCAI 2018 Stability and Generalization of Learning Algorithms that Converge to Global Optima ICML 2018 Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes NeurIPS 2018 Statistical Tomography of Microscopic Life CVPR 2018