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Efficient Computing

6876 directly classified papers

Papers per year

Papers

GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction CVPR 2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions CVPR 2020
Butterfly Transform: An Efficient FFT Based Neural Architecture Design CVPR 2020
Dynamic Convolution: Attention Over Convolution Kernels CVPR 2020
ILFO: Adversarial Attack on Adaptive Neural Networks CVPR 2020
Dynamic Face Video Segmentation via Reinforcement Learning CVPR 2020
Rethinking Performance Estimation in Neural Architecture Search CVPR 2020
Learning When and Where to Zoom With Deep Reinforcement Learning CVPR 2020
UNAS: Differentiable Architecture Search Meets Reinforcement Learning CVPR 2020
Assessing Image Quality Issues for Real-World Problems CVPR 2020
CenterMask: Real-Time Anchor-Free Instance Segmentation CVPR 2020
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning CVPR 2020
Deep Implicit Volume Compression CVPR 2020
Resolution Adaptive Networks for Efficient Inference CVPR 2020
Rethinking Differentiable Search for Mixed-Precision Neural Networks CVPR 2020
DMCP: Differentiable Markov Channel Pruning for Neural Networks CVPR 2020
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality CVPR 2020
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection CVPR 2020
Coresets for Regressions with Panel Data NIPS 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot NIPS 2020
Position-based Scaled Gradient for Model Quantization and Pruning NIPS 2020
Learning Composable Energy Surrogates for PDE Order Reduction NIPS 2020
SMYRF - Efficient Attention using Asymmetric Clustering NIPS 2020
Understanding and Exploring the Network with Stochastic Architectures NIPS 2020
Secretary and Online Matching Problems with Machine Learned Advice NIPS 2020