efficient computing

Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention AAAI 2021 PatchmatchNet: Learned Multi-View Patchmatch Stereo CVPR 2021 Practical Single-Image Super-Resolution Using Look-Up Table CVPR 2021 QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks CVPR 2021 RankNAS: Efficient Neural Architecture Search by Pairwise Ranking EMNLP 2021 Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences AAAI 2021 RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices AAAI 2021 SA-BNN: State-Aware Binary Neural Network AAAI 2021 Searching for Controllable Image Restoration Networks ICCV 2021 Searching for Efficient Transformers for Language Modeling NeurIPS 2021 Searching for Fast Model Families on Datacenter Accelerators CVPR 2021 Selecting Informative Contexts Improves Language Model Fine-tuning ACL 2021 Shortformer: Better Language Modeling using Shorter Inputs ACL 2021 Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation NeurIPS 2021 Space-Time Distillation for Video Super-Resolution CVPR 2021 Space-time Mixing Attention for Video Transformer NeurIPS 2021 Spatially-Adaptive Pixelwise Networks for Fast Image Translation CVPR 2021 Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis EMNLP 2021 Towards Efficient Graph Convolutional Networks for Point Cloud Handling ICCV 2021 Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices IJCAI 2021 Towards Stable and Robust AdderNets NeurIPS 2021 Training with Quantization Noise for Extreme Model Compression ICLR 2021 ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search CVPR 2021 Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV 2021 When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute EMNLP 2021