Deep $k$ -Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions

24 June 2018

Yue Wang

Ashok Veeraraghavan

Papers citing "Deep $k$-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

26 / 26 papers shown

Title
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks Yonggan Fu Qixuan Yu Yang Zhang Shan-Hung Wu Ouyang Xu David D. Cox Yingyan Lin AAML OOD 59 30 0 26 Oct 2021
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark Chaojian Li Zhongzhi Yu Yonggan Fu Yongan Zhang Yang Zhao Haoran You Qixuan Yu Yue Wang Yingyan Lin 89 109 0 19 Mar 2021
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 59 1,094 0 23 Oct 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 56 1,122 0 23 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 1.0K 20,747 0 17 Apr 2017
The Power of Sparsity in Convolutional Neural Networks Soravit Changpinyo Mark Sandler A. Zhmoginov 48 132 0 21 Feb 2017
Soft Weight-Sharing for Neural Network Compression Karen Ullrich Edward Meeds Max Welling 109 416 0 13 Feb 2017
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning Tien-Ju Yang Yu-hsin Chen Vivienne Sze 3DV 70 738 0 16 Nov 2016
Ultimate tensorization: compressing convolutional and FC layers alike T. Garipov D. Podoprikhin Alexander Novikov Dmitry Vetrov 48 190 0 10 Nov 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 168 3,687 0 31 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 263 7,951 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 118 7,448 0 24 Feb 2016
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 62 893 0 20 Nov 2015
Convolutional neural networks with low-rank regularization Cheng Tai Tong Xiao Yi Zhang Xiaogang Wang E. Weinan BDL 67 460 0 19 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 203 8,793 0 01 Oct 2015
Data-free parameter pruning for Deep Neural Networks Suraj Srinivas R. Venkatesh Babu 3DPC 56 545 0 22 Jul 2015
DeepFont: Identify Your Font from An Image Zhangyang Wang Jianchao Yang Hailin Jin Eli Shechtman A. Agarwala Jonathan Brandt Thomas S. Huang VLM 26 123 0 12 Jul 2015
Compressing Convolutional Neural Networks Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 37 139 0 14 Jun 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 228 6,628 0 08 Jun 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 104 1,191 0 19 Apr 2015
Compressing Deep Convolutional Networks using Vector Quantization Yunchao Gong Liu Liu Ming Yang Lubomir D. Bourdev MQ 90 1,168 0 18 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 301 43,511 0 17 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 1.1K 39,383 0 01 Sep 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 225 6,267 0 16 Dec 2013
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 222 26,122 0 11 Nov 2013
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 136 1,314 0 03 Jun 2013

Deep kkk-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions

Papers citing "Deep $k$-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

Deep $k$ -Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions