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Predicting Parameters in Deep Learning

3 June 2013

Papers citing "Predicting Parameters in Deep Learning"

50 / 392 papers shown

Title
ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections Sujith Ravi 57 62 0 02 Aug 2017
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM Cong Leng Hao Li Shenghuo Zhu Rong Jin MQ 72 288 0 24 Jul 2017
Neuron Pruning for Compressing Deep Networks using Maxout Architectures Fernando Moya Rueda René Grzeszick G. Fink CVBM 66 17 0 21 Jul 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Jian-Hao Luo Jianxin Wu Weiyao Lin 63 1,764 0 20 Jul 2017
Model compression as constrained optimization, with application to neural nets. Part II: quantization M. A. Carreira-Perpiñán Yerlan Idelbayev MQ 72 37 0 13 Jul 2017
Stochastic, Distributed and Federated Optimization for Machine Learning Jakub Konecný FedML 83 38 0 04 Jul 2017
An Entropy-based Pruning Method for CNN Compression Jian-Hao Luo Jianxin Wu 48 180 0 19 Jun 2017
Sparse Neural Networks Topologies Alfred Bourely John Patrick Boueri Krzysztof Choromonski GNN 45 11 0 18 Jun 2017
Enriched Deep Recurrent Visual Attention Model for Multiple Object Recognition Artsiom Ablavatski Shijian Lu Jianfei Cai 51 37 0 12 Jun 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs Yiwen Guo Anbang Yao Hao Zhao Yurong Chen MQ 81 95 0 07 Jun 2017
IDK Cascades: Fast Deep Learning by Learning not to Overthink Xin Wang Yujia Luo D. Crankshaw Alexey Tumanov Fisher Yu Joseph E. Gonzalez 85 108 0 03 Jun 2017
Kronecker Recurrent Units C. Jose Moustapha Cissé François Fleuret ODL 145 46 0 29 May 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 207 481 0 24 May 2017
Compressing Recurrent Neural Network with Tensor Train Andros Tjandra S. Sakti Satoshi Nakamura 95 111 0 23 May 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon Xin Luna Dong Shangyu Chen Sinno Jialin Pan 205 513 0 22 May 2017
Exploring Sparsity in Recurrent Neural Networks Sharan Narang Erich Elsen G. Diamos Shubho Sengupta 82 313 0 17 Apr 2017
DyVEDeep: Dynamic Variable Effort Deep Neural Networks Sanjay Ganapathy Swagath Venkataramani Balaraman Ravindran A. Raghunathan 51 8 0 04 Apr 2017
Factorization tricks for LSTM networks Oleksii Kuchaiev Boris Ginsburg 104 113 0 31 Mar 2017
Towards thinner convolutional neural networks through Gradually Global Pruning Z. Wang Ce Zhu Zhiqiang Xia Qi Guo Yipeng Liu CVBM 34 4 0 29 Mar 2017
Coordinating Filters for Faster Deep Neural Networks W. Wen Cong Xu Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 66 138 0 28 Mar 2017
The Power of Sparsity in Convolutional Neural Networks Soravit Changpinyo Mark Sandler A. Zhmoginov 89 133 0 21 Feb 2017
Soft Weight-Sharing for Neural Network Compression Karen Ullrich Edward Meeds Max Welling 178 421 0 13 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos MQ 146 507 0 03 Feb 2017
FastText.zip: Compressing text classification models Armand Joulin Edouard Grave Piotr Bojanowski Matthijs Douze Hervé Jégou Tomas Mikolov MQ 118 1,216 0 12 Dec 2016
Towards the Limit of Network Quantization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 88 195 0 05 Dec 2016
Diet Networks: Thin Parameters for Fat Genomics Adriana Romero P. Carrier Akram Erraqabi Tristan Sylvain Alex Auvolat Etienne Dejoie Marc-André Legault M. Dubé J. Hussin Yoshua Bengio 84 68 0 28 Nov 2016
Generalized Dropout Suraj Srinivas R. Venkatesh Babu BDL 63 48 0 21 Nov 2016
Training Sparse Neural Networks Suraj Srinivas Akshayvarun Subramanya R. Venkatesh Babu 165 208 0 21 Nov 2016
LCNN: Lookup-based Convolutional Neural Network Hessam Bagherinezhad Mohammad Rastegari Ali Farhadi 77 90 0 20 Nov 2016
Learning the Number of Neurons in Deep Networks J. Álvarez Mathieu Salzmann 210 414 0 19 Nov 2016
Ultimate tensorization: compressing convolutional and FC layers alike T. Garipov D. Podoprikhin Alexander Novikov Dmitry Vetrov 83 191 0 10 Nov 2016
Fixed-point Factorized Networks Peisong Wang Jian Cheng MQ 79 43 0 07 Nov 2016
Deep Model Compression: Distilling Knowledge from Noisy Teachers Bharat Bhusan Sau V. Balasubramanian 102 182 0 30 Oct 2016
Structured adaptive and random spinners for fast machine learning computations Mariusz Bojarski A. Choromańska K. Choromanski Francois Fagan Cédric Gouy-Pailler Anne Morvan Nourhan Sakr Tamás Sarlós Jamal Atif 130 35 0 19 Oct 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 314 4,681 0 18 Oct 2016
Random Feature Expansions for Deep Gaussian Processes Kurt Cutajar Edwin V. Bonilla Pietro Michiardi Maurizio Filippone BDL 68 144 0 14 Oct 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 182 1,637 0 27 Sep 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 299 3,711 0 31 Aug 2016
Local Binary Convolutional Neural Networks Felix Juefei Xu Vishnu Boddeti Marios Savvides MQ 84 253 0 22 Aug 2016
Dynamic Network Surgery for Efficient DNNs Yiwen Guo Anbang Yao Yurong Chen 113 1,063 0 16 Aug 2016
About Pyramid Structure in Convolutional Neural Networks I. Ullah A. Petrosino 3DV 85 30 0 14 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 263 2,348 0 12 Aug 2016
Faster CNNs with Direct Sparse Convolutions and Guided Pruning Jongsoo Park Sheng Li W. Wen P. T. P. Tang Hai Helen Li Yiran Chen Pradeep Dubey 149 184 0 04 Aug 2016
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures Hengyuan Hu Rui Peng Yu-Wing Tai Chi-Keung Tang 80 892 0 12 Jul 2016
Group Sparse Regularization for Deep Neural Networks Simone Scardapane Danilo Comminiello Amir Hussain A. Uncini 437 468 0 02 Jul 2016
Sequence-Level Knowledge Distillation Yoon Kim Alexander M. Rush 138 1,123 0 25 Jun 2016
DecomposeMe: Simplifying ConvNets for End-to-End Learning J. Álvarez L. Petersson 78 48 0 17 Jun 2016
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 87 471 0 16 Jun 2016
Convolution by Evolution: Differentiable Pattern Producing Networks Chrisantha Fernando Dylan Banarse Malcolm Reynolds F. Besse David Pfau Max Jaderberg Marc Lanctot Daan Wierstra 296 102 0 08 Jun 2016
Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks Shizhao Sun Wei Chen Jiang Bian Xiaoguang Liu Tie-Yan Liu FedML 53 29 0 02 Jun 2016