Efficient Computing

GhostNetV2: Enhance Cheap Operation with Long-Range Attention NeurIPS 2022 Hybrid Neural Networks for On-Device Directional Hearing AAAI 2022 Latency-aware Spatial-wise Dynamic Networks NeurIPS 2022 Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation NeurIPS 2022 MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition CVPR 2022 Multi Resolution Analysis (MRA) for Approximate Self-Attention ICML 2022 Overcoming Oscillations in Quantization-Aware Training ICML 2022 PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition Interspeech 2022 RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization IJCAI 2022 Reversible Vision Transformers CVPR 2022 RSTT: Real-Time Spatial Temporal Transformer for Space-Time Video Super-Resolution CVPR 2022 Searching the Deployable Convolution Neural Networks for GPUs CVPR 2022 Speed Up Object Detection on Gigapixel-Level Images With Patch Arrangement CVPR 2022 Toward Practical Monocular Indoor Depth Estimation CVPR 2022 TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection EMNLP 2022 VTC-LFC: Vision Transformer Compression with Low-Frequency Components NeurIPS 2022 When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism AAAI 2022 Accurate Post Training Quantization With Small Calibration Sets ICML 2021 A Fourier-Based Framework for Domain Generalization CVPR 2021 AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling CVPR 2021 Beyond malloc efficiency to fleet efficiency: a hugepage-aware memory allocator OSDI 2021 Chasing Sparsity in Vision Transformers: An End-to-End Exploration NeurIPS 2021 CompOFA – Compound Once-For-All Networks for Faster Multi-Platform Deployment ICLR 2021 Coordinate Attention for Efficient Mobile Network Design CVPR 2021 Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks NeurIPS 2021