Efficient Computing

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators CVPR 2021 MVFNet: Multi-View Fusion Network for Efficient Video Recognition AAAI 2021 NAS-Bench-x11 and the Power of Learning Curves NeurIPS 2021 Near Lossless Transfer Learning for Spiking Neural Networks AAAI 2021 NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization CVPR 2021 Network Pruning That Matters: A Case Study on Retraining Variants ICLR 2021 Neural Camera Simulators CVPR 2021 Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes CVPR 2021 Neural gradients are near-lognormal: improved quantized and sparse training ICLR 2021 Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food CVPR 2021 Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention AAAI 2021 On the Convergence of Communication-Efficient Local SGD for Federated Learning AAAI 2021 OpEvo: An Evolutionary Method for Tensor Operator Optimization AAAI 2021 Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs CVPR 2021 Optimal Sketching for Trace Estimation NeurIPS 2021 Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization AAAI 2021 Overfitting the Data: Compact Neural Video Delivery via Content-Aware Feature Modulation ICCV 2021 PatchmatchNet: Learned Multi-View Patchmatch Stereo CVPR 2021 Patch-VQ: 'Patching Up' the Video Quality Problem CVPR 2021 Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks CVPR 2021 PhySG: Inverse Rendering With Spherical Gaussians for Physics-Based Material Editing and Relighting CVPR 2021 Piper: Multidimensional Planner for DNN Parallelization NeurIPS 2021 Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo CVPR 2021 Post-Training Sparsity-Aware Quantization NeurIPS 2021 Pragmatic Image Compression for Human-in-the-Loop Decision-Making NeurIPS 2021