Predicting Parameters in Deep Learning

3 June 2013

Papers citing "Predicting Parameters in Deep Learning"

50 / 200 papers shown

Title
Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu G. Varma A. Namboodiri GNN 30 70 0 23 Nov 2017
NISP: Pruning Networks using Neuron Importance Score Propagation Ruichi Yu Ang Li Chun-Fu Chen Jui-Hsin Lai Vlad I. Morariu Xintong Han M. Gao Ching-Yung Lin L. Davis 44 795 0 16 Nov 2017
Moonshine: Distilling with Cheap Convolutions Elliot J. Crowley Gavia Gray Amos Storkey 27 120 0 07 Nov 2017
Accelerating Training of Deep Neural Networks via Sparse Edge Processing Sourya Dey Yinan Shao K. Chugg P. Beerel 30 16 0 03 Nov 2017
Knowledge Projection for Deep Neural Networks Zhi Zhang G. Ning Zhihai He 38 15 0 26 Oct 2017
Trace norm regularization and faster inference for embedded speech recognition RNNs Markus Kliegl Siddharth Goyal Kexin Zhao Kavya Srinet M. Shoeybi 26 8 0 25 Oct 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory W. Wen Yuxiong He Samyam Rajbhandari Minjia Zhang Wenhan Wang Fang Liu Bin Hu Yiran Chen H. Li MQ 35 140 0 15 Sep 2017
DeepFense: Online Accelerated Defense Against Adversarial Deep Learning B. Rouhani Mohammad Samragh Mojan Javaheripi T. Javidi F. Koushanfar AAML 12 15 0 08 Sep 2017
Neuron Pruning for Compressing Deep Networks using Maxout Architectures Fernando Moya Rueda René Grzeszick G. Fink CVBM 22 17 0 21 Jul 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs Yiwen Guo Anbang Yao Hao Zhao Yurong Chen MQ 31 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 25 107 0 03 Jun 2017
Kronecker Recurrent Units C. Jose Moustapha Cissé F. Fleuret ODL 24 45 0 29 May 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 23 479 0 24 May 2017
Compressing Recurrent Neural Network with Tensor Train Andros Tjandra S. Sakti Satoshi Nakamura 21 109 0 23 May 2017
Towards thinner convolutional neural networks through Gradually Global Pruning Z. Wang Ce Zhu Zhiqiang Xia Qi Guo Yipeng Liu CVBM 14 4 0 29 Mar 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos MQ 36 502 0 03 Feb 2017
Towards the Limit of Network Quantization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 22 191 0 05 Dec 2016
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection Jonathan Shen Noranart Vesdapunt Vishnu Naresh Boddeti Kris M. Kitani 13 29 0 01 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 12 68 0 28 Nov 2016
Training Sparse Neural Networks Suraj Srinivas Akshayvarun Subramanya R. Venkatesh Babu 11 204 0 21 Nov 2016
LCNN: Lookup-based Convolutional Neural Network Hessam Bagherinezhad Mohammad Rastegari Ali Farhadi 13 89 0 20 Nov 2016
Learning the Number of Neurons in Deep Networks J. Álvarez Mathieu Salzmann 21 412 0 19 Nov 2016
Ultimate tensorization: compressing convolutional and FC layers alike T. Garipov D. Podoprikhin Alexander Novikov Dmitry Vetrov 39 190 0 10 Nov 2016
Deep Model Compression: Distilling Knowledge from Noisy Teachers Bharat Bhusan Sau V. Balasubramanian 18 181 0 30 Oct 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 54 4,590 0 18 Oct 2016
Random Feature Expansions for Deep Gaussian Processes Kurt Cutajar Edwin V. Bonilla Pietro Michiardi Maurizio Filippone BDL 14 142 0 14 Oct 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 84 1,585 0 27 Sep 2016
Local Binary Convolutional Neural Networks Felix Juefei Xu Vishnu Naresh Boddeti Marios Savvides MQ 27 251 0 22 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 26 2,320 0 12 Aug 2016
Group Sparse Regularization for Deep Neural Networks Simone Scardapane Danilo Comminiello Amir Hussain A. Uncini 22 462 0 02 Jul 2016
Sequence-Level Knowledge Distillation Yoon Kim Alexander M. Rush 29 1,098 0 25 Jun 2016
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 18 469 0 16 Jun 2016
Refining Architectures of Deep Convolutional Neural Networks S. Shankar D. Robertson Yani Andrew Ioannou A. Criminisi R. Cipolla 3DV 17 30 0 22 Apr 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 54 4,331 0 16 Mar 2016
Decision Forests, Convolutional Networks and the Models in-Between Yani Andrew Ioannou D. Robertson Darko Zikic Peter Kontschieder Jamie Shotton Matthew Brown A. Criminisi 18 88 0 03 Mar 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision Suraj Srinivas Ravi Kiran Sarvadevabhatla Konda Reddy Mopuri N. Prabhu S. Kruthiventi R. Venkatesh Babu OOD 35 215 0 25 Jan 2016
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks Shuchang Zhou Jia-Nan Wu Yuxin Wu Xinyu Zhou 11 40 0 31 Dec 2015
On the energy landscape of deep networks Pratik Chaudhari Stefano Soatto ODL 40 27 0 20 Nov 2015
ACDC: A Structured Efficient Linear Layer Marcin Moczulski Misha Denil J. Appleyard Nando de Freitas 30 98 0 18 Nov 2015
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction Hyeonwoo Noh Paul Hongsuck Seo Bohyung Han OOD 22 327 0 18 Nov 2015
Diversity Networks: Neural Network Compression Using Determinantal Point Processes Zelda E. Mariet S. Sra 11 129 0 16 Nov 2015
Structured Transforms for Small-Footprint Deep Learning Vikas Sindhwani Tara N. Sainath Sanjiv Kumar 23 240 0 06 Oct 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 45 8,732 0 01 Oct 2015
Compression of Fully-Connected Layer in Neural Network by Kronecker Product Shuchang Zhou Jia-Nan Wu 33 26 0 21 Jul 2015
Compressing Convolutional Neural Networks Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 24 139 0 14 Jun 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 18 1,190 0 19 Apr 2015
Neural Network Regularization via Robust Weight Factorization Jan Rudy Weiguang Ding Daniel Jiwoong Im Graham W. Taylor OOD 42 6 0 20 Dec 2014
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 36 43,402 0 17 Sep 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012