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Efficient Computing

1,579 papers

Papers per year

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322
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Papers

Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition NIPS 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations NIPS 2015
Computationally Bounded Retrieval CVPR 2015
Superpixel Meshes for Fast Edge-Preserving Surface Reconstruction CVPR 2015
Improving Object Proposals With Multi-Thresholding Straddling Expansion CVPR 2015
A Dynamic Convolutional Layer for Short Range Weather Prediction CVPR 2015
Convolutional Neural Networks at Constrained Time Cost CVPR 2015
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NIPS 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation NIPS 2014
Communication Efficient Distributed Machine Learning with the Parameter Server NIPS 2014
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators NIPS 2014
Fast Training of Pose Detectors in the Fourier Domain NIPS 2014
Anytime Recognition of Objects and Scenes CVPR 2014
Speeding Up Tracking by Ignoring Features CVPR 2014
Fisher and VLAD with FLAIR CVPR 2014
Immediate, Scalable Object Category Detection CVPR 2014
100+ Times Faster Weighted Median Filter (WMF) CVPR 2014
Discrete-Continuous Gradient Orientation Estimation for Faster Image Segmentation CVPR 2014
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform NIPS 2013
Fast Template Evaluation with Vector Quantization NIPS 2013
Deep content-based music recommendation NIPS 2013
Fast, Accurate Detection of 100,000 Object Classes on a Single Machine CVPR 2013
Feature Clustering for Accelerating Parallel Coordinate Descent NIPS 2012
Large Scale Distributed Deep Networks NIPS 2012