Channel Pruning for Accelerating Very Deep Neural Networks

19 July 2017

Xiangyu Zhang

Papers citing "Channel Pruning for Accelerating Very Deep Neural Networks"

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Title
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 21 1 0 15 Jan 2023
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer Miao Yin Burak Uzkent Yilin Shen Hongxia Jin Bo Yuan ViT 32 13 0 13 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning Huan Wang Can Qin Yue Bai Yun Fu 37 20 0 12 Jan 2023
Pruning Before Training May Improve Generalization, Provably Hongru Yang Yingbin Liang Xiaojie Guo Lingfei Wu Zhangyang Wang MLT 24 1 0 01 Jan 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen Ma Xue Liu MQ 30 3 0 24 Dec 2022
Domain Generalization with Correlated Style Uncertainty Zheyu Zhang Bin Wang Debesh Jha Ugur Demir Ulas Bagci OOD 38 5 0 20 Dec 2022
FSCNN: A Fast Sparse Convolution Neural Network Inference System Bo Ji Tianyi Chen 26 3 0 17 Dec 2022
Towards Hardware-Specific Automatic Compression of Neural Networks Torben Krieger Bernhard Klein Holger Fröning MQ 27 2 0 15 Dec 2022
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management Yifan Gong Zheng Zhan Pu Zhao Yushu Wu Chaoan Wu Caiwen Ding Weiwen Jiang Minghai Qin Yanzhi Wang 28 7 0 09 Dec 2022
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning Yingchun Wang Song Guo Jingcai Guo Weizhan Zhang Yi Tian Xu Jiewei Zhang Yi Liu 21 17 0 07 Dec 2022
Slimmable Pruned Neural Networks Hideaki Kuratsu Atsuyoshi Nakamura 17 2 0 07 Dec 2022
On-device Training: A First Overview on Existing Systems Shuai Zhu Thiemo Voigt Jeonggil Ko Fatemeh Rahimian 34 14 0 01 Dec 2022
Boosted Dynamic Neural Networks Haichao Yu Haoxiang Li G. Hua Gao Huang Humphrey Shi 35 7 0 30 Nov 2022
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification Suorong Yang Jinqiao Li Jian Zhao S. Furao AAML 33 6 0 29 Nov 2022
Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks Bing Han Feifei Zhao Yi Zeng Guobin Shen 41 6 0 23 Nov 2022
Learning Low-Rank Representations for Model Compression Zezhou Zhu Yucong Zhou Zhaobai Zhong SSL MQ 27 3 0 21 Nov 2022
Pruning Very Deep Neural Network Channels for Efficient Inference Yihui He 35 1 0 14 Nov 2022
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning Udbhav Bamba Neeraj Anand Saksham Aggarwal Dilip K Prasad D. K. Gupta MQ 26 0 0 12 Nov 2022
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization Chengpeng Chen Zichao Guo Haien Zeng Pengfei Xiong Jian Dong 26 37 0 11 Nov 2022
MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions Antonia van Betteray Matthias Rottmann Karsten Kahl 31 2 0 10 Nov 2022
ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning Yang Zhou Yuda Song Hui Qian Xin Du VLM 33 1 0 10 Nov 2022
WaveNets: Wavelet Channel Attention Networks Hadi Salman Caleb Parks Shizhan Hong J. Zhan 36 1 0 04 Nov 2022
Soft Masking for Cost-Constrained Channel Pruning Ryan Humble Maying Shen J. Latorre Eric Darve1 J. Álvarez 22 14 0 04 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models Muyang Li Ji Lin Chenlin Meng Stefano Ermon Song Han Jun-Yan Zhu DiffM 40 45 0 03 Nov 2022
Self Similarity Matrix based CNN Filter Pruning S. Rakshith Jayesh Rajkumar Vachhani Sourabh Vasant Gothe Rishabh Khurana 30 0 0 03 Nov 2022
$Strong Lottery Ticket Hypothesis with $\varepsilon$--perturbation$ Strong Lottery Ticket Hypothesis with $\varepsilon$ --perturbation Zheyang Xiong Fangshuo Liao Anastasios Kyrillidis 31 2 0 29 Oct 2022
MinUn: Accurate ML Inference on Microcontrollers Shikhar Jaiswal R. Goli Aayan Kumar Vivek Seshadri Rahul Sharma 29 2 0 29 Oct 2022
A pruning method based on the dissimilarity of angle among channels and filters Jiayi Yao P. Li Xiatao Kang Yuzhe Wang 3DPC 22 3 0 29 Oct 2022
Exploring the Effects of Channel Sparsity on Neural Network Pruning for Acoustic Scene Classification Yiqian Cai Shengchen Li 14 0 0 28 Oct 2022
Approximating Continuous Convolutions for Deep Network Compression Theo W. Costain V. Prisacariu 36 0 0 17 Oct 2022
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction T. M. Khan Syed S. Naqvi A. Robles-Kelly Erik H. W. Meijering 46 7 0 14 Oct 2022
SeKron: A Decomposition Method Supporting Many Factorization Structures Marawan Gamal Abdel Hameed A. Mosleh Marzieh S. Tahaei V. Nia 29 1 0 12 Oct 2022
Advancing Model Pruning via Bi-level Optimization Yihua Zhang Yuguang Yao Parikshit Ram Pu Zhao Tianlong Chen Min-Fong Hong Yanzhi Wang Sijia Liu 51 68 0 08 Oct 2022
IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks Ping Xue Yang Lu Jingfei Chang Xing Wei Zhen Wei MQ 75 0 0 06 Oct 2022
Basic Binary Convolution Unit for Binarized Image Restoration Network Bin Xia Yulun Zhang Yitong Wang Yapeng Tian Wenming Yang Radu Timofte Luc Van Gool MQ 20 21 0 02 Oct 2022
EAPruning: Evolutionary Pruning for Vision Transformers and CNNs Qingyuan Li Bo-Wen Zhang Xiangxiang Chu ViT VLM 27 3 0 01 Oct 2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning Chunhui Zhang Chao Huang Yijun Tian Qianlong Wen Z. Ouyang Youhuan Li Yanfang Ye Chuxu Zhang 31 6 0 01 Oct 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li Yang Bai Yong Jiang Yong-Liang Yang Shutao Xia Bo Li AAML 56 98 0 27 Sep 2022
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training Geng Yuan Yanyu Li Sheng Li Zhenglun Kong Sergey Tulyakov Xulong Tang Yanzhi Wang Jian Ren 33 15 0 22 Sep 2022
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models Perry Lam Huayun Zhang Nancy F. Chen Berrak Sisman 19 2 0 22 Sep 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions M. Tukan Loay Mualem Alaa Maalouf 3DPC 53 22 0 18 Sep 2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning Jiangmeng Li Wenwen Qiang Yanan Zhang Wenyi Mo Changwen Zheng Bing-Huang Su Hui Xiong SSL 34 14 0 16 Sep 2022
Training Recipe for N:M Structured Sparsity with Decaying Pruning Mask Sheng-Chun Kao Amir Yazdanbakhsh Suvinay Subramanian Shivani Agrawal Utku Evci T. Krishna 50 12 0 15 Sep 2022
Towards Sparsification of Graph Neural Networks Hongwu Peng Deniz Gurevin Shaoyi Huang Tong Geng Weiwen Jiang O. Khan Caiwen Ding GNN 30 24 0 11 Sep 2022
Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference Qiao Zhang Tao Xiang Chunsheng Xin Biwen Chen Hongyi Wu 39 1 0 04 Sep 2022
XCAT -- Lightweight Quantized Single Image Super-Resolution using Heterogeneous Group Convolutions and Cross Concatenation Mustafa Ayazoglu Bahri Batuhan Bilecen SupR 20 4 0 31 Aug 2022
Survey: Exploiting Data Redundancy for Optimization of Deep Learning Jou-An Chen Wei Niu Bin Ren Yanzhi Wang Xipeng Shen 23 24 0 29 Aug 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning Elias Frantar Sidak Pal Singh Dan Alistarh MQ 28 217 0 24 Aug 2022
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues Nan Li Lianbo Ma Guo-Ding Yu Bing Xue Mengjie Zhang Yaochu Jin 32 70 0 23 Aug 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 48 3 0 22 Aug 2022