Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

1 February 2018

Papers citing "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"

50 / 193 papers shown

Title
Rethinking Weight Decay For Efficient Neural Network Pruning Hugo Tessier Vincent Gripon Mathieu Léonardon M. Arzel T. Hannagan David Bertrand 26 25 0 20 Nov 2020
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains R. Schoonhoven A. Hendriksen D. Pelt K. Batenburg 3DPC 22 4 0 13 Nov 2020
Automated Model Compression by Jointly Applied Pruning and Quantization Wenting Tang Xingxing Wei Bo-wen Li MQ 8 7 0 12 Nov 2020
Deep Multimodal Fusion by Channel Exchanging Yikai Wang Wenbing Huang Gang Hua Tingyang Xu Yu Rong Junzhou Huang 19 237 0 10 Nov 2020
Effective Model Compression via Stage-wise Pruning Mingyang Zhang Xinyi Yu Jingtao Rong L. Ou SyDa 21 1 0 10 Nov 2020
Channel Planting for Deep Neural Networks using Knowledge Distillation Kakeru Mitsuno Yuichiro Nomura Takio Kurita 28 2 0 04 Nov 2020
Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks Kakeru Mitsuno Takio Kurita 11 6 0 04 Nov 2020
Methods for Pruning Deep Neural Networks S. Vadera Salem Ameen 3DPC 21 122 0 31 Oct 2020
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough Mao Ye Lemeng Wu Qiang Liu 15 17 0 29 Oct 2020
Neuron Merging: Compensating for Pruned Neurons Woojeong Kim Suhyun Kim Mincheol Park Geonseok Jeon 17 32 0 25 Oct 2020
Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data Mao Ye Dhruv Choudhary Jiecao Yu Ellie Wen Zeliang Chen Jiyan Yang Jongsoo Park Qiang Liu A. Kejariwal 13 9 0 16 Oct 2020
Comprehensive Online Network Pruning via Learnable Scaling Factors Muhammad Umair Haider M. Taj 16 6 0 06 Oct 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application Lei Huang Jie Qin Yi Zhou Fan Zhu Li Liu Ling Shao AI4CE 12 254 0 27 Sep 2020
A Gradient Flow Framework For Analyzing Network Pruning Ekdeep Singh Lubana Robert P. Dick 26 51 0 24 Sep 2020
Achieving Adversarial Robustness via Sparsity Shu-Fan Wang Ningyi Liao Liyao Xiang Nanyang Ye Quanshi Zhang AAML 6 14 0 11 Sep 2020
One Weight Bitwidth to Rule Them All Ting-Wu Chin P. Chuang Vikas Chandra Diana Marculescu MQ 25 25 0 22 Aug 2020
Data-Independent Structured Pruning of Neural Networks via Coresets Ben Mussay Dan Feldman Samson Zhou Vladimir Braverman Margarita Osadchy 21 25 0 19 Aug 2020
Towards Modality Transferable Visual Information Representation with Optimal Model Compression Rongqun Lin Linwei Zhu Shiqi Wang Sam Kwong 27 2 0 13 Aug 2020
RARTS: An Efficient First-Order Relaxed Architecture Search Method Fanghui Xue Y. Qi Jack Xin 21 1 0 10 Aug 2020
Neural Architecture Search as Sparse Supernet Yongpeng Wu Aoming Liu Zhiwu Huang Siwei Zhang Luc Van Gool 25 22 0 31 Jul 2020
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks Ting-Wu Chin Ari S. Morcos Diana Marculescu 24 10 0 23 Jul 2020
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks Xinghao Chen Yiman Zhang Yunhe Wang VLM 19 15 0 16 Jul 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks Minsoo Kang Bohyung Han AAML 33 138 0 08 Jul 2020
FracBits: Mixed Precision Quantization via Fractional Bit-Widths Linjie Yang Qing Jin MQ 14 74 0 04 Jul 2020
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture Jinhua Liang Tao Zhang Guoqing Feng 9 16 0 02 Jul 2020
Cogradient Descent for Bilinear Optimization Lian Zhuo Baochang Zhang Linlin Yang Hanlin Chen QiXiang Ye David Doermann G. Guo Rongrong Ji 12 14 0 16 Jun 2020
Dynamic Model Pruning with Feedback Tao R. Lin Sebastian U. Stich Luis Barba Daniil Dmitriev Martin Jaggi 24 198 0 12 Jun 2020
A Framework for Neural Network Pruning Using Gibbs Distributions Alex Labach S. Valaee 9 5 0 08 Jun 2020
Pruning via Iterative Ranking of Sensitivity Statistics Stijn Verdenius M. Stol Patrick Forré AAML 16 37 0 01 Jun 2020
CPOT: Channel Pruning via Optimal Transport Yucong Shen Li Shen Haozhi Huang Xuan Wang Wei Liu OT 12 6 0 21 May 2020
A flexible, extensible software framework for model compression based on the LC algorithm Yerlan Idelbayev Miguel Á. Carreira-Perpiñán 9 9 0 15 May 2020
Dependency Aware Filter Pruning Kai Zhao Xinyu Zhang Qi Han Ming-Ming Cheng 8 3 0 06 May 2020
Out-of-the-box channel pruned networks Ragav Venkatesan Gurumurthy Swaminathan Xiong Zhou Anna Luo 20 0 0 30 Apr 2020
Rethinking Class-Discrimination Based CNN Channel Pruning Yuchen Liu D. Wentzlaff S. Kung 16 10 0 29 Apr 2020
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning Zhongzhan Huang Wenqi Shao Xinjiang Wang Liang Lin Ping Luo 6 52 0 24 Apr 2020
Efficient Synthesis of Compact Deep Neural Networks Wenhan Xia Hongxu Yin N. Jha 26 3 0 18 Apr 2020
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression Yihuan Mao Yujing Wang Chufan Wu Chen Zhang Yang-Feng Wang Yaming Yang Quanlu Zhang Yunhai Tong Jing Bai 16 72 0 08 Apr 2020
Channel Pruning via Optimal Thresholding Yun Ye Ganmei You Jong-Kae Fwu Xia Zhu Q. Yang Yuan Zhu 14 12 0 10 Mar 2020
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks Sai Aparna Aketi Sourjya Roy A. Raghunathan Kaushik Roy 8 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 22 1 0 19 Feb 2020
Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning Sejun Park Jaeho Lee Sangwoo Mo Jinwoo Shin 7 90 0 12 Feb 2020
Progressive Local Filter Pruning for Image Retrieval Acceleration Xiaodong Wang Zhedong Zheng Yang He Fei Yan Zhi-qiang Zeng Yi Yang 27 34 0 24 Jan 2020
Filter Grafting for Deep Neural Networks Fanxu Meng Hao Cheng Ke Li Zhixin Xu Rongrong Ji Xing Sun Guangming Lu 14 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 19 118 0 04 Jan 2020
AtomNAS: Fine-Grained End-to-End Neural Architecture Search Jieru Mei Yingwei Li Xiaochen Lian Xiaojie Jin Linjie Yang Alan Yuille Jianchao Yang 19 107 0 20 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 26 551 0 18 Dec 2019
STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods Shayan Hassantabar Xiaoliang Dai N. Jha 3DV 22 17 0 12 Dec 2019
Graph Pruning for Model Compression Mingyang Zhang Xinyi Yu Jingtao Rong L. Ou GNN 30 9 0 22 Nov 2019
Provable Filter Pruning for Efficient Neural Networks Lucas Liebenwein Cenk Baykal Harry Lang Dan Feldman Daniela Rus VLM 3DPC 21 140 0 18 Nov 2019