Adjoined Networks: A Training Paradigm with Applications to Network Compression

10 June 2020

Papers citing "Adjoined Networks: A Training Paradigm with Applications to Network Compression"

25 / 25 papers shown

Title
Towards Understanding Knowledge Distillation Mary Phuong Christoph H. Lampert 63 318 0 27 May 2021
Distilling Knowledge via Knowledge Review Pengguang Chen Shu Liu Hengshuang Zhao Jiaya Jia 181 437 0 19 Apr 2021
HRank: Filter Pruning using High-Rank Feature Map Mingbao Lin Rongrong Ji Yan Wang Yichen Zhang Baochang Zhang Yonghong Tian Ling Shao 64 725 0 24 Feb 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity Aditya Kusupati Vivek Ramanujan Raghav Somani Mitchell Wortsman Prateek Jain Sham Kakade Ali Farhadi 142 246 0 08 Feb 2020
Channel Pruning via Automatic Structure Search Mingbao Lin Rongrong Ji Yuxin Zhang Baochang Zhang Yongjian Wu Yonghong Tian 88 243 0 23 Jan 2020
Rigging the Lottery: Making All Tickets Winners Utku Evci Trevor Gale Jacob Menick Pablo Samuel Castro Erich Elsen 180 600 0 25 Nov 2019
Correlation Congruence for Knowledge Distillation Baoyun Peng Xiao Jin Jiaheng Liu Shunfeng Zhou Yichao Wu Yu Liu Dongsheng Li Zhaoning Zhang 86 510 0 03 Apr 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu Haoyuan Mu Xiangyu Zhang Zichao Guo Xin Yang K. Cheng Jian Sun 71 559 0 25 Mar 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao QiXiang Ye Feiyue Huang David Doermann CVBM 53 507 0 22 Mar 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 145 758 0 25 Feb 2019
Slimmable Neural Networks Jiahui Yu L. Yang N. Xu Jianchao Yang Thomas Huang 71 552 0 21 Dec 2018
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression Yuchao Li Shaohui Lin Baochang Zhang Jianzhuang Liu David Doermann Yongjian Wu Feiyue Huang Rongrong Ji 53 130 0 11 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 93 1,867 0 02 Dec 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew G. Howard Quoc V. Le MQ 114 3,004 0 31 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 185 4,350 0 24 Jun 2018
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 187 1,275 0 05 Oct 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 122 2,418 0 22 Aug 2017
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 143 1,650 0 01 Jun 2017
Identity Matters in Deep Learning Moritz Hardt Tengyu Ma OOD 81 398 0 14 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 441 5,367 0 05 Nov 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 188 3,693 0 31 Aug 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 139 7,465 0 24 Feb 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 247 8,832 0 01 Oct 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 290 3,882 0 19 Dec 2014
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks Andrew M. Saxe James L. McClelland Surya Ganguli ODL 162 1,843 0 20 Dec 2013