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Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights

10 September 2021

Nojun Kwak

Papers citing "Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights"

23 / 23 papers shown

Title
Dynamic Model Pruning with Feedback Tao R. Lin Sebastian U. Stich Luis Barba Daniil Dmitriev Martin Jaggi 149 204 0 12 Jun 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 267 387 0 05 Mar 2020
Sparse Networks from Scratch: Faster Training without Losing Performance Tim Dettmers Luke Zettlemoyer 142 340 0 10 Jul 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 76 314 0 15 Feb 2019
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang AAML 3DPC 94 1,049 0 01 Nov 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 36 1,470 0 11 Oct 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang AAML VLM 66 964 0 21 Aug 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer Jangho Kim Seonguk Park Nojun Kwak 77 550 0 14 Feb 2018
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 194 1,278 0 05 Oct 2017
Minimal Effort Back Propagation for Convolutional Neural Networks Bingzhen Wei Xu Sun Xuancheng Ren Jingjing Xu 35 28 0 18 Sep 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 201 2,525 0 19 Jul 2017
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science Decebal Constantin Mocanu Elena Mocanu Peter Stone Phuong H. Nguyen M. Gibescu A. Liotta 175 633 0 15 Jul 2017
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting Xu Sun Xuancheng Ren Shuming Ma Houfeng Wang 62 157 0 19 Jun 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 126 3,681 0 08 Jun 2017
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 50 288 0 25 Mar 2017
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 193 3,697 0 31 Aug 2016
Dynamic Network Surgery for Efficient DNNs Yiwen Guo Anbang Yao Yurong Chen 81 1,059 0 16 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 349 7,985 0 23 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 313 6,681 0 08 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,660 0 09 Mar 2015
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 39,547 0 01 Sep 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 384 3,135 0 15 Aug 2013