model efficiency

DWM: A Decomposable Winograd Method for Convolution Acceleration AAAI 2020 Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference CVPR 2020 FastBERT: a Self-distilling BERT with Adaptive Inference Time ACL 2020 ILFO: Adversarial Attack on Adaptive Neural Networks CVPR 2020 Lite Audio-Visual Speech Enhancement Interspeech 2020 Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets NeurIPS 2020 Neural Architecture Search for Lightweight Non-Local Networks CVPR 2020 Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations ICLR 2020 Provable Filter Pruning for Efficient Neural Networks ICLR 2020 Resolution Adaptive Networks for Efficient Inference CVPR 2020 Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets CVPR 2020 SqueezeBERT: What can computer vision teach NLP about efficient neural networks? EMNLP 2020 Structured Convolutions for Efficient Neural Network Design NeurIPS 2020 TopicBERT for Energy Efficient Document Classification EMNLP 2020 Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference ICLR 2020 ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks WACV 2020 Utility is in the Eye of the User: A Critique of NLP Leaderboards EMNLP 2020 AutoAssist: A Framework to Accelerate Training of Deep Neural Networks NeurIPS 2019 Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition ICLR 2019 Defensive Quantization: When Efficiency Meets Robustness ICLR 2019 EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis ICML 2019 Fast Human Pose Estimation CVPR 2019 FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search CVPR 2019 HarDNet: A Low Memory Traffic Network ICCV 2019 Knowledge Adaptation for Efficient Semantic Segmentation CVPR 2019