Techniques

Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes CVPR 2019 Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models NeurIPS 2019 Sharing Attention Weights for Fast Transformer IJCAI 2019 Sharpen Focus: Learning With Attention Separability and Consistency ICCV 2019 SHE: A Fast and Accurate Deep Neural Network for Encrypted Data NeurIPS 2019 SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks CVPR 2019 Similarity of Neural Network Representations Revisited ICML 2019 SIMON: A Simple and Scalable Method for Sensing, Inference and Measurement in Data Center Networks NSDI 2019 Simplifying Graph Convolutional Networks ICML 2019 Slimmable Neural Networks ICLR 2019 Smooth Deep Image Generator from Noises AAAI 2019 Snapshot Distillation: Teacher-Student Optimization in One Generation CVPR 2019 SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY ICLR 2019 SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints CVPR 2019 Sound Event Detection in Multichannel Audio Using Convolutional Time-Frequency-Channel Squeeze and Excitation Interspeech 2019 SparseMask: Differentiable Connectivity Learning for Dense Image Prediction ICCV 2019 Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization NeurIPS 2019 Splitting Steepest Descent for Growing Neural Architectures NeurIPS 2019 SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA ACML 2019 SpotTune: Transfer Learning Through Adaptive Fine-Tuning CVPR 2019 SRM: A Style-Based Recalibration Module for Convolutional Neural Networks ICCV 2019 SSN: Learning Sparse Switchable Normalization via SparsestMax CVPR 2019 Stand-Alone Self-Attention in Vision Models NeurIPS 2019 STAR-Caps: Capsule Networks with Straight-Through Attentive Routing NeurIPS 2019 Star-Transformer NAACL 2019