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SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks

11 October 2019

Daniela Rus

Papers citing "SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks"

28 / 28 papers shown

Title
Revisiting hard thresholding for DNN pruning Konstantinos Pitas Mike Davies P. Vandergheynst AAML 48 2 0 21 May 2019
Stabilizing the Lottery Ticket Hypothesis Jonathan Frankle Gintare Karolina Dziugaite Daniel M. Roy Michael Carbin 70 103 0 05 Mar 2019
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 42 1,477 0 11 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 274 1,212 0 04 Oct 2018
On Coresets for Logistic Regression Alexander Munteanu Chris Schwiegelshohn C. Sohler David P. Woodruff 61 110 0 22 May 2018
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds Cenk Baykal Lucas Liebenwein Igor Gilitschenski Dan Feldman Daniela Rus 80 79 0 15 Apr 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 293 3,489 0 09 Mar 2018
Stronger generalization bounds for deep nets via a compression approach Sanjeev Arora Rong Ge Behnam Neyshabur Yi Zhang MLT AI4CE 100 643 0 14 Feb 2018
Compression-aware Training of Deep Networks J. Álvarez Mathieu Salzmann 79 172 0 07 Nov 2017
Training Support Vector Machines using Coresets Cenk Baykal Lucas Liebenwein Wilko Schwarting 76 6 0 13 Aug 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon Xin Luna Dong Shangyu Chen Sinno Jialin Pan 191 507 0 22 May 2017
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank Liang Zhao Siyu Liao Yanzhi Wang Zhe Li Jian Tang Victor Pan Bo Yuan 106 61 0 01 Mar 2017
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 199 2,341 0 12 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 362 8,005 0 23 May 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 170 7,503 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Training CNNs with Low-Rank Filters for Efficient Image Classification Yani Andrew Ioannou D. Robertson Jamie Shotton R. Cipolla A. Criminisi 91 152 0 20 Nov 2015
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications Yong-Deok Kim Eunhyeok Park S. Yoo Taelim Choi Lu Yang Dongjun Shin 124 895 0 20 Nov 2015
Convolutional neural networks with low-rank regularization Cheng Tai Tong Xiao Yi Zhang Xiaogang Wang E. Weinan BDL 119 462 0 19 Nov 2015
Binary embeddings with structured hashed projections A. Choromańska K. Choromanski Mariusz Bojarski Tony Jebara Sanjiv Kumar Yann LeCun 85 33 0 16 Nov 2015
Structured Transforms for Small-Footprint Deep Learning Vikas Sindhwani Tara N. Sainath Sanjiv Kumar 70 240 0 06 Oct 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,864 0 01 Oct 2015
Fast ConvNets Using Group-wise Brain Damage V. Lebedev Victor Lempitsky AAML 201 449 0 08 Jun 2015
An Introduction to Matrix Concentration Inequalities J. Tropp 178 1,155 0 07 Jan 2015
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 138 1,465 0 15 May 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation Emily L. Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus FAtt 186 1,693 0 02 Apr 2014
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 226 1,323 0 03 Jun 2013
A Unified Framework for Approximating and Clustering Data Dan Feldman M. Langberg 182 458 0 07 Jun 2011