Compressing Neural Networks with the Hashing Trick

19 April 2015

Papers citing "Compressing Neural Networks with the Hashing Trick"

50 / 157 papers shown

Title
MEADE: Towards a Malicious Email Attachment Detection Engine Ethan M. Rudd Richard E. Harang Joshua Saxe 27 32 0 22 Apr 2018
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds Cenk Baykal Lucas Liebenwein Igor Gilitschenski Dan Feldman Daniela Rus 25 79 0 15 Apr 2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory Ameya Prabhu Vishal Batchu Rohit Gajawada Sri Aurobindo Munagala A. Namboodiri MQ 33 18 0 11 Apr 2018
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning K. Yu Chao Dong Liang Lin Chen Change Loy CLL OffRL 27 174 0 10 Apr 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation Sachin Mehta Mohammad Rastegari A. Caspi Linda G. Shapiro Hannaneh Hajishirzi SSeg 43 777 0 19 Mar 2018
Deep Neural Network Compression with Single and Multiple Level Quantization Yuhui Xu Yongzhuang Wang Aojun Zhou Weiyao Lin H. Xiong MQ 20 114 0 06 Mar 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence Jinglan Liu Jiaxin Zhang Yukun Ding Xiaowei Xu Meng Jiang Yiyu Shi 36 4 0 26 Feb 2018
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks Qi Liu Tao Liu Zihao Liu Yanzhi Wang Yier Jin Wujie Wen AAML 27 48 0 14 Feb 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks D. Weinshall Gad Cohen Dan Amir ODL 25 239 0 11 Feb 2018
Sparsely Aggregated Convolutional Networks Ligeng Zhu Ruizhi Deng Michael Maire Zhiwei Deng Greg Mori P. Tan 3DPC 32 9 0 18 Jan 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost Kevin Hsieh Ganesh Ananthanarayanan P. Bodík P. Bahl Matthai Philipose Phillip B. Gibbons O. Mutlu 18 275 0 10 Jan 2018
Compressing Deep Neural Networks: A New Hashing Pipeline Using Kac's Random Walk Matrices Jack Parker-Holder S. Gass 23 0 0 09 Jan 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 77 3,052 0 15 Dec 2017
Automated Pruning for Deep Neural Network Compression Franco Manessi A. Rozza Simone Bianco Paolo Napoletano Raimondo Schettini 36 56 0 05 Dec 2017
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
Accelerating Training of Deep Neural Networks via Sparse Edge Processing Sourya Dey Yinan Shao K. Chugg P. Beerel 30 16 0 03 Nov 2017
Trace norm regularization and faster inference for embedded speech recognition RNNs Markus Kliegl Siddharth Goyal Kexin Zhao Kavya Srinet M. Shoeybi 38 8 0 25 Oct 2017
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis A. Chung M. Shafiee Paul Fieguth A. Wong 24 4 0 07 Sep 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 38 10 0 16 Aug 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform Chaim Baskin Natan Liss Evgenii Zheltonozhskii A. Bronstein A. Mendelson GNN MQ 36 35 0 31 Jul 2017
SEP-Nets: Small and Effective Pattern Networks Zhe Li Xiaoyu Wang Xutao Lv Tianbao Yang 30 12 0 13 Jun 2017
Kronecker Recurrent Units C. Jose Moustapha Cissé F. Fleuret ODL 24 45 0 29 May 2017
Towards thinner convolutional neural networks through Gradually Global Pruning Z. Wang Ce Zhu Zhiqiang Xia Qi Guo Yipeng Liu CVBM 16 4 0 29 Mar 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification Gao Huang Danlu Chen Tianhong Li Felix Wu L. V. D. van der Maaten Kilian Q. Weinberger VLM 24 137 0 29 Mar 2017
ShaResNet: reducing residual network parameter number by sharing weights Alexandre Boulch 32 26 0 28 Feb 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization Ye Zhang Matthew Lease Byron C. Wallace 16 15 0 08 Feb 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
LCNN: Lookup-based Convolutional Neural Network Hessam Bagherinezhad Mohammad Rastegari Ali Farhadi 13 89 0 20 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
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems Charles Siegel J. Daily Abhinav Vishnu AI4CE 16 10 0 03 Oct 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 42 1,842 0 22 Sep 2016
Scalable Compression of Deep Neural Networks Xing Wang Jie Liang 16 4 0 26 Aug 2016
Local Binary Convolutional Neural Networks Felix Juefei Xu Vishnu Boddeti Marios Savvides MQ 30 251 0 22 Aug 2016
Group Sparse Regularization for Deep Neural Networks Simone Scardapane Danilo Comminiello Amir Hussain A. Uncini 22 462 0 02 Jul 2016
Compression of Neural Machine Translation Models via Pruning A. See Minh-Thang Luong Christopher D. Manning MedIm VLM 21 221 0 29 Jun 2016
Sequence-Level Knowledge Distillation Yoon Kim Alexander M. Rush 47 1,098 0 25 Jun 2016
Structured Convolution Matrices for Energy-efficient Deep learning R. Appuswamy T. Nayak John V. Arthur S. K. Esser P. Merolla J. McKinstry T. Melano M. Flickner D. Modha 33 11 0 08 Jun 2016
Learning Compact Recurrent Neural Networks Zhiyun Lu Vikas Sindhwani Tara N. Sainath 12 86 0 09 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
Scalable and Sustainable Deep Learning via Randomized Hashing Ryan Spring Anshumali Shrivastava 23 132 0 26 Feb 2016
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks Shuchang Zhou Jia-Nan Wu Yuxin Wu Xinyu Zhou 16 40 0 31 Dec 2015
Efficient Deep Feature Learning and Extraction via StochasticNets M. Shafiee P. Siva Paul Fieguth A. Wong 26 2 0 11 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 77 27,084 0 02 Dec 2015
On the energy landscape of deep networks Pratik Chaudhari Stefano Soatto ODL 40 27 0 20 Nov 2015
Fixed Point Quantization of Deep Convolutional Networks D. Lin S. Talathi V. Annapureddy MQ 44 809 0 19 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 24 327 0 18 Nov 2015