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Accelerate CNN via Recursive Bayesian Pruning

2 December 2018

Papers citing "Accelerate CNN via Recursive Bayesian Pruning"

36 / 36 papers shown

Title
Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression Xiaoyi Qu David Aponte Colby R. Banbury Daniel P. Robinson Tianyu Ding K. Koishida Ilya Zharkov Tianyi Chen MQ 110 2 0 23 Feb 2025
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning Lixian Jing Jianpeng Qi Junyu Dong Yanwei Yu 3DPC AI4CE 83 0 0 24 Dec 2024
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning Tianyi Chen Xiaoyi Qu David Aponte Colby R. Banbury Jongwoo Ko Tianyu Ding Yong Ma Vladimir Lyapunov Ilya Zharkov Luming Liang 189 2 0 11 Sep 2024
Decay Pruning Method: Smooth Pruning With a Self-Rectifying Procedure Minghao Yang Linlin Gao Pengyuan Li Wenbo Li Yihong Dong Zhiying Cui 67 1 0 06 Jun 2024
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression Hancheng Ye Chong Yu Peng Ye Renqiu Xia Yansong Tang Jiwen Lu Tao Chen Bo Zhang 90 3 0 23 Mar 2024
OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators Tianyi Chen Tianyu Ding Zhihui Zhu Zeyu Chen HsiangTao Wu Ilya Zharkov Luming Liang 58 4 0 15 Dec 2023
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets Zhicheng Cai Xiaohan Ding Qiu Shen Xun Cao 67 20 0 16 Oct 2023
Filter Pruning For CNN With Enhanced Linear Representation Redundancy Bojue Wang Chun-Xia Ma Bin Liu Nianbo Liu Jinqi Zhu 67 1 0 10 Oct 2023
FalconNet: Factorization for the Light-weight ConvNets Zhicheng Cai Qiu Shen 125 14 0 10 Jun 2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs Hancheng Ye Bo Zhang Tao Chen Jiayuan Fan Bin Wang 74 19 0 21 Mar 2023
OTOV2: Automatic, Generic, User-Friendly Tianyi Chen Luming Liang Tian Ding Zhihui Zhu Ilya Zharkov VLM MQ 108 36 0 13 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey Yang He Lingao Xiao 3DPC 120 146 0 01 Mar 2023
Learnable Heterogeneous Convolution: Learning both topology and strength Rongzhen Zhao Zhenzhi Wu Qikun Zhang 80 6 0 13 Jan 2023
Survey: Exploiting Data Redundancy for Optimization of Deep Learning Jou-An Chen Wei Niu Bin Ren Yanzhi Wang Xipeng Shen 64 24 0 29 Aug 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 98 11 0 06 Apr 2022
Revisiting a kNN-based Image Classification System with High-capacity Storage K. Nakata Youyang Ng Daisuke Miyashita A. Maki Yu Lin J. Deguchi 107 26 0 03 Apr 2022
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy Thibault Castells Seul-Ki Yeom 3DV 74 3 0 18 Nov 2021
RGP: Neural Network Pruning through Its Regular Graph Structure Zhuangzhi Chen Jingyang Xiang Yao Lu Qi Xuan Xiaoniu Yang 64 1 0 28 Oct 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 125 134 0 26 Oct 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework Tianyi Chen Bo Ji Tianyu Ding Biyi Fang Guanyi Wang Zhihui Zhu Luming Liang Yixin Shi Sheng Yi Xiao Tu 127 105 0 15 Jul 2021
Cogradient Descent for Dependable Learning Runqi Wang Baochang Zhang Lian Zhuo QiXiang Ye David Doermann 32 0 0 20 Jun 2021
Carrying out CNN Channel Pruning in a White Box Yuxin Zhang Mingbao Lin Chia-Wen Lin Jie Chen Feiyue Huang Yongjian Wu Yonghong Tian Rongrong Ji VLM 113 61 0 24 Apr 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning Seul-Ki Yeom Kyung-Hwan Shim Jee-Hyun Hwang CVBM 65 13 0 19 Mar 2021
Neural Network Compression Via Sparse Optimization Tianyi Chen Bo Ji Yixin Shi Tianyu Ding Biyi Fang Sheng Yi Xiao Tu 84 16 0 10 Nov 2020
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 121 166 0 21 Oct 2020
Comprehensive Online Network Pruning via Learnable Scaling Factors Muhammad Umair Haider M. Taj 80 7 0 06 Oct 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 119 72 0 02 Sep 2020
Cascaded channel pruning using hierarchical self-distillation Roy Miles K. Mikolajczyk 71 7 0 16 Aug 2020
Weight-dependent Gates for Network Pruning Yun Li Zechun Liu Weiqun Wu Haotian Yao Xinming Zhang Fangqiu Yi B. Yin 85 14 0 04 Jul 2020
Cogradient Descent for Bilinear Optimization Lian Zhuo Baochang Zhang Linlin Yang Hanlin Chen QiXiang Ye David Doermann G. Guo Rongrong Ji 58 14 0 16 Jun 2020
Learning from a Lightweight Teacher for Efficient Knowledge Distillation Yuang Liu Wei Zhang Jun Wang 41 3 0 19 May 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update Zechun Liu Xinming Zhang Zhiqiang Shen Zhe Li Yichen Wei Kwang-Ting Cheng Jian Sun 76 19 0 18 May 2020
Dependency Aware Filter Pruning Kai Zhao Xinyu Zhang Qi Han Ming-Ming Cheng 28 3 0 06 May 2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks Yuhui Xu Yuxi Li Shuai Zhang W. Wen Botao Wang Y. Qi Yiran Chen Weiyao Lin H. Xiong AAML 78 71 0 30 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 225 192 0 19 Mar 2020
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 83 172 0 28 Apr 2019