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Model Architecture

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Papers

Saliency Learning: Teaching the Model Where to Pay Attention NAACL 2019 Salient Object Detection With Pyramid Attention and Salient Edges CVPR 2019 Same, Same But Different: Recovering Neural Network Quantization Error Through Weight Factorization ICML 2019 Scalable Convolutional Neural Network for Image Compressed Sensing CVPR 2019 Scalable Distributed DL Training: Batching Communication and Computation AAAI 2019 SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks AAAI 2019 Second-Order Attention Network for Single Image Super-Resolution CVPR 2019 Segmentation-Driven 6D Object Pose Estimation CVPR 2019 Segmentation-free compositional n-gram embedding NAACL 2019 Self-Attention Graph Pooling ICML 2019 Self-Routing Capsule Networks NeurIPS 2019 Semantics Disentangling for Text-To-Image Generation CVPR 2019 Sensitive-Sample Fingerprinting of Deep Neural Networks CVPR 2019 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 SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY ICLR 2019