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Efficient Computing

6,898 papers

Papers per year

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11
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Papers

Cost aware Inference for IoT Devices AISTATS 2019
Interplay of minimax estimation and minimax support recovery under sparsity ALT 2019
Old Techniques in Differentially Private Linear Regression ALT 2019
Active Regression via Linear-Sample Sparsification COLT 2019
Fast determinantal point processes via distortion-free intermediate sampling COLT 2019
Sample-Optimal Low-Rank Approximation of Distance Matrices COLT 2019
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization CVPR 2019
BAD SLAM: Bundle Adjusted Direct RGB-D SLAM CVPR 2019
Real-Time Self-Adaptive Deep Stereo CVPR 2019
Efficient Video Classification Using Fewer Frames CVPR 2019
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation CVPR 2019
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks CVPR 2019
Knowledge Adaptation for Efficient Semantic Segmentation CVPR 2019
AdaFrame: Adaptive Frame Selection for Fast Video Recognition CVPR 2019
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation CVPR 2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks CVPR 2019
Learning to Sample CVPR 2019
Fully Quantized Network for Object Detection CVPR 2019
MnasNet: Platform-Aware Neural Architecture Search for Mobile CVPR 2019
Group Sampling for Scale Invariant Face Detection CVPR 2019
Fast Human Pose Estimation CVPR 2019
Compressing Convolutional Neural Networks via Factorized Convolutional Filters CVPR 2019
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration CVPR 2019
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss CVPR 2019
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs CVPR 2019