model compression

On the Efficient Representation and Execution of Deep Acoustic Models Interspeech 2016 Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016 Refining Architectures of Deep Convolutional Neural Networks CVPR 2016 Rethinking the Inception Architecture for Computer Vision CVPR 2016 Small-Footprint Deep Neural Networks with Highway Connections for Speech Recognition Interspeech 2016 Sparsifying Neural Network Connections for Face Recognition CVPR 2016 An Exploration of Parameter Redundancy in Deep Networks With Circulant Projections ICCV 2015 BinaryConnect: Training Deep Neural Networks with binary weights during propagations NeurIPS 2015 Compressing Neural Networks with the Hashing Trick ICML 2015 Convolutional Neural Networks at Constrained Time Cost CVPR 2015 Deep Fried Convnets ICCV 2015 Deep Learning with Limited Numerical Precision ICML 2015 Efficient and Accurate Approximations of Nonlinear Convolutional Networks CVPR 2015 Global Refinement of Random Forest CVPR 2015 Improving Ferns Ensembles by Sparsifying and Quantising Posterior Probabilities ICCV 2015 Learning both Weights and Connections for Efficient Neural Network NeurIPS 2015 Sparse Convolutional Neural Networks CVPR 2015 Structured Transforms for Small-Footprint Deep Learning NeurIPS 2015 Tensorizing Neural Networks NeurIPS 2015 Do Deep Nets Really Need to be Deep? NeurIPS 2014 Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation NeurIPS 2014 Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014 Minimal Scene Descriptions from Structure from Motion Models CVPR 2014 Decision Jungles: Compact and Rich Models for Classification NeurIPS 2013 Dynamic Structured Model Selection ICCV 2013