Weight Pruning via Adaptive Sparsity Loss

4 June 2020

Papers citing "Weight Pruning via Adaptive Sparsity Loss"

45 / 45 papers shown

Title
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding Guiguang Ding Xiangxin Zhou Yuchen Guo Jungong Han Ji Liu 53 164 0 27 Sep 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 78 881 0 25 Jun 2019
Learning Sparse Networks Using Targeted Dropout Aidan Gomez Ivan Zhang Siddhartha Rao Kamalakara Divyam Madaan Kevin Swersky Y. Gal Geoffrey E. Hinton 69 98 0 31 May 2019
RecNets: Channel-wise Recurrent Convolutional Neural Networks George Retsinas Athena Elafrou G. Goumas Petros Maragos 22 2 0 28 May 2019
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure Xiaohan Ding Guiguang Ding Yuchen Guo Jiawei Han 3DPC 49 182 0 08 Apr 2019
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices Xiaofang Xu M. Park C. Brick 47 26 0 01 Nov 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang AAML 3DPC 90 1,048 0 01 Nov 2018
Discrimination-aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang Mingkui Tan Bohan Zhuang Jing Liu Yong Guo Qingyao Wu Junzhou Huang Jin-Hui Zhu 113 599 0 28 Oct 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen M. Fardad Yanzhi Wang 57 438 0 10 Apr 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 133 519 0 09 Apr 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 150 3,123 0 15 Dec 2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks A. Gordon Elad Eban Ofir Nachum Bo Chen Hao Wu Tien-Ju Yang Edward Choi 63 337 0 18 Nov 2017
Moonshine: Distilling with Cheap Convolutions Elliot J. Crowley Gavia Gray Amos Storkey 57 121 0 07 Nov 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Jian-Hao Luo Jianxin Wu Weiyao Lin 55 1,760 0 20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 201 2,524 0 19 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 138 6,867 0 04 Jul 2017
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks A. Parashar Minsoo Rhu Anurag Mukkara A. Puglielli Rangharajan Venkatesan Brucek Khailany J. Emer S. Keckler W. Dally 73 1,126 0 23 May 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon Xin Luna Dong Shangyu Chen Sinno Jialin Pan 174 505 0 22 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,837 0 17 Apr 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos MQ 136 505 0 03 Feb 2017
Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 141 829 0 19 Jan 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 509 10,322 0 16 Nov 2016
Deep Pyramidal Residual Networks Dongyoon Han Jiwhan Kim Junmo Kim 93 694 0 10 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,559 0 07 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 149 1,864 0 22 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 772 36,794 0 25 Aug 2016
Dynamic Network Surgery for Efficient DNNs Yiwen Guo Anbang Yao Yurong Chen 81 1,059 0 16 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 330 8,116 0 13 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 176 2,337 0 12 Aug 2016
FractalNet: Ultra-Deep Neural Networks without Residuals Gustav Larsson Michael Maire Gregory Shakhnarovich 163 940 0 24 May 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 337 7,984 0 23 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 164 4,356 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 209 2,985 0 02 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 255 8,833 0 01 Oct 2015
Attention-Based Models for Speech Recognition J. Chorowski Dzmitry Bahdanau Dmitriy Serdyuk Kyunghyun Cho Yoshua Bengio 124 2,607 0 24 Jun 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 310 6,672 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 502 62,270 0 04 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 350 19,643 0 09 Mar 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 460 43,649 0 17 Sep 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 434 20,553 0 10 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,525 0 01 Sep 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation Emily L. Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus FAtt 177 1,689 0 02 Apr 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 381 3,129 0 15 Aug 2013
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 195 1,318 0 03 Jun 2013