Importance Estimation for Neural Network Pruning

25 June 2019

Papers citing "Importance Estimation for Neural Network Pruning"

39 / 439 papers shown

Title
Joint Multi-Dimension Pruning via Numerical Gradient Update Zechun Liu Xinming Zhang Zhiqiang Shen Zhe Li Yichen Wei Kwang-Ting Cheng Jian Sun 47 19 0 18 May 2020
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation Le Thanh Nguyen-Meidine Eric Granger M. Kiran Jose Dolz Louis-Antoine Blais-Morin 14 23 0 16 May 2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers Junjie Liu Zhe Xu Runbin Shi R. Cheung Hayden Kwok-Hay So 14 119 0 14 May 2020
Dependency Aware Filter Pruning Kai Zhao Xinyu Zhang Qi Han Ming-Ming Cheng 8 3 0 06 May 2020
A multi-component framework for the analysis and design of explainable artificial intelligence S. Atakishiyev H. Babiker Nawshad Farruque R. Goebel1 Myeongjung Kima M. H. Motallebi J. Rabelo T. Syed O. R. Zaïane 46 35 0 05 May 2020
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning Zhongzhan Huang Wenqi Shao Xinjiang Wang Liang Lin Ping Luo 14 52 0 24 Apr 2020
Efficient Synthesis of Compact Deep Neural Networks Wenhan Xia Hongxu Yin N. Jha 29 3 0 18 Apr 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 137 189 0 19 Mar 2020
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping Jiaxiong Qiu Cai Chen Shuaicheng Liu B. Zeng 20 39 0 16 Mar 2020
Channel Pruning Guided by Classification Loss and Feature Importance Jinyang Guo Wanli Ouyang Dong Xu 22 53 0 15 Mar 2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration Jun Shi Jianfeng Xu K. Tasaka Zhibo Chen 6 25 0 12 Mar 2020
BiDet: An Efficient Binarized Object Detector Ziwei Wang Ziyi Wu Jiwen Lu Jie Zhou MQ 62 64 0 09 Mar 2020
Learning in the Frequency Domain Kai Xu Minghai Qin Fei Sun Yuhao Wang Yen-kuang Chen Fengbo Ren 39 395 0 27 Feb 2020
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks Sai Aparna Aketi Sourjya Roy A. Raghunathan Kaushik Roy 16 22 0 23 Feb 2020
Knapsack Pruning with Inner Distillation Y. Aflalo Asaf Noy Ming Lin Itamar Friedman Lihi Zelnik-Manor 3DPC 17 34 0 19 Feb 2020
Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle Xinyu Zhang Kai Zhao Taihong Xiao Mingg-Ming Cheng Ming-Hsuan Yang 28 1 0 19 Feb 2020
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving Wei Deng Junwei Pan Tian Zhou Deguang Kong Aaron Flores Guang Lin 15 4 0 17 Feb 2020
Filter Grafting for Deep Neural Networks Fanxu Meng Hao Cheng Ke Li Zhixin Xu Rongrong Ji Xing Sun Guangming Lu 19 33 0 15 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression Jing Liu Bohan Zhuang Zhuangwei Zhuang Yong Guo Junzhou Huang Jin-Hui Zhu Mingkui Tan CVBM 19 119 0 04 Jan 2020
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning Seul-Ki Yeom P. Seegerer Sebastian Lapuschkin Alexander Binder Simon Wiedemann K. Müller Wojciech Samek CVBM 21 198 0 18 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 28 552 0 18 Dec 2019
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 20 2,582 0 27 Nov 2019
Neural Network Pruning with Residual-Connections and Limited-Data Jian-Hao Luo Jianxin Wu 19 112 0 19 Nov 2019
Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters (DeCEF) Yinan Yu Samuel Scheidegger T. McKelvey 11 2 0 21 Oct 2019
Model Fusion via Optimal Transport Sidak Pal Singh Martin Jaggi MoMe FedML 21 225 0 12 Oct 2019
CAT: Compression-Aware Training for bandwidth reduction Chaim Baskin Brian Chmiel Evgenii Zheltonozhskii Ron Banner A. Bronstein A. Mendelson MQ 22 10 0 25 Sep 2019
Accelerating Training using Tensor Decomposition Mostafa Elhoushi Ye Tian Zihao Chen F. Shafiq Joey Yiwei Li 14 3 0 10 Sep 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control Inyoung Paik Sangjun Oh Taeyeong Kwak Injung Kim CLL 34 49 0 31 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 24 11 0 13 Jul 2019
Progressive Gradient Pruning for Classification, Detection and DomainAdaptation Le Thanh Nguyen-Meidine Eric Granger M. Kiran Louis-Antoine Blais-Morin M. Pedersoli VLM 13 2 0 20 Jun 2019
Taxonomy of Saliency Metrics for Channel Pruning Kaveena Persand Andrew Anderson David Gregg 26 7 0 11 Jun 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 21 240 0 23 May 2019
Pruning-Aware Merging for Efficient Multitask Inference Xiaoxi He Dawei Gao Zimu Zhou Yongxin Tong Lothar Thiele MoMe 32 8 0 23 May 2019
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 16 170 0 28 Apr 2019
Filter Pruning by Switching to Neighboring CNNs with Good Attributes Yang He Ping Liu Linchao Zhu Yi Yang VLM 24 45 0 08 Apr 2019
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks Zahra Atashgahi Joost Pieterse Shiwei Liu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 35 15 0 17 Mar 2019
A Low Effort Approach to Structured CNN Design Using PCA Isha Garg Priyadarshini Panda Kaushik Roy 19 62 0 15 Dec 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference Jian-Hao Luo Jianxin Wu 10 207 0 23 May 2018
The Power of Linear Recurrent Neural Networks Frieder Stolzenburg Sandra Litz O. Michael Oliver Obst 16 6 0 09 Feb 2018