Application Areas

DynaBERT: Dynamic BERT with Adaptive Width and Depth NeurIPS 2020 Dynamic Convolution: Attention Over Convolution Kernels CVPR 2020 Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference CVPR 2020 Dynamic Data Selection and Weighting for Iterative Back-Translation EMNLP 2020 Dynamic Face Video Segmentation via Reinforcement Learning CVPR 2020 Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog ACL 2020 Dynamic Graph Representation for Occlusion Handling in Biometrics AAAI 2020 Dynamic Instance Normalization for Arbitrary Style Transfer AAAI 2020 Dynamic Model Pruning with Feedback ICLR 2020 Dynamic Network Pruning with Interpretable Layerwise Channel Selection AAAI 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 Effective Data Augmentation with Multi-Domain Learning GANs AAAI 2020 Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models EMNLP 2020 Effective Use of Target-side Context for Neural Machine Translation COLING 2020 Effective Ways to Build and Evaluate Individual Survival Distributions JMLR 2020 Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020