Efficient Computing

DWM: A Decomposable Winograd Method for Convolution Acceleration AAAI 2020 Dynamic Convolution: Attention Over Convolution Kernels CVPR 2020 Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference CVPR 2020 Dynamic Face Video Segmentation via Reinforcement Learning CVPR 2020 Dynamic Instance Normalization for Arbitrary Style Transfer AAAI 2020 Dynamic Model Pruning with Feedback ICLR 2020 Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers ICLR 2020 Dynamic Submodular Maximization NeurIPS 2020 EAC-Net: Efficient and Accurate Convolutional Network for Video Recognition AAAI 2020 Early Exiting BERT for Efficient Document Ranking EMNLP 2020 Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ EMNLP 2020 ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks CVPR 2020 ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications ICML 2020 EcoNAS: Finding Proxies for Economical Neural Architecture Search CVPR 2020 Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality ICLR 2020 Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task ACL 2020 Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020 Efficient Algorithms for Device Placement of DNN Graph Operators NeurIPS 2020 Efficient and High-Quality Neural Machine Translation with OpenNMT ACL 2020 Efficient and Modularized Training on FPGA for Real-time Applications IJCAI 2020 Efficient Automatic CASH via Rising Bandits AAAI 2020 EfficientDet: Scalable and Efficient Object Detection CVPR 2020 Efficient EUD Parsing ACL 2020 Efficient Inference For Neural Machine Translation EMNLP 2020 Efficient Neural Architecture Search via Proximal Iterations AAAI 2020