Efficient Computing

Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference CVPR 2020 Dynamic Network Pruning with Interpretable Layerwise Channel Selection AAAI 2020 EAC-Net: Efficient and Accurate Convolutional Network for Video Recognition AAAI 2020 Early Exiting BERT for Efficient Document Ranking EMNLP 2020 ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks CVPR 2020 EcoNAS: Finding Proxies for Economical Neural Architecture Search CVPR 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 Constituency Parsing by Pointing ACL 2020 EfficientDet: Scalable and Efficient Object Detection CVPR 2020 Efficient Inference For Neural Machine Translation EMNLP 2020 Efficient Learning of Generative Models via Finite-Difference Score Matching NeurIPS 2020 Efficient Neural Vision Systems Based on Convolutional Image Acquisition CVPR 2020 Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis AAAI 2020 End-to-End ASR with Adaptive Span Self-Attention Interspeech 2020 Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder CVPR 2020 Exactly Computing the Local Lipschitz Constant of ReLU Networks NeurIPS 2020 Extreme Tensoring for Low-Memory Preconditioning ICLR 2020 FASTER Recurrent Networks for Efficient Video Classification AAAI 2020 FastFormers: Highly Efficient Transformer Models for Natural Language Understanding EMNLP 2020 FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions CVPR 2020 FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression ACML 2020 Forward and Backward Information Retention for Accurate Binary Neural Networks CVPR 2020