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Model Compression

1,785 papers

Papers per year

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Papers

Structured Transforms for Small-Footprint Deep Learning NIPS 2015
Learning both Weights and Connections for Efficient Neural Network NIPS 2015
Sparse Convolutional Neural Networks CVPR 2015
Sparse Projections for High-Dimensional Binary Codes CVPR 2015
Scalable Object Detection by Filter Compression With Regularized Sparse Coding CVPR 2015
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation NIPS 2014
Fast Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014
Predicting Parameters in Deep Learning NIPS 2013
Learning Separable Filters CVPR 2013
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012