DepGraph: Towards Any Structural Pruning

30 January 2023

Papers citing "DepGraph: Towards Any Structural Pruning"

24 / 24 papers shown

Title
Dynamic Gradient Sparse Update for Edge Training I-Hsuan Li Tian-Sheuan Chang 88 1 0 23 Mar 2025
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning Nikolaos Kaparinos Vasileios Mezaris CVBM 85 0 0 28 Jan 2025
Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts Danyal Aftab Steven Davy ALM 62 0 0 10 Jan 2025
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 105 2 0 11 Sep 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey Guanqiao Qu Qiyuan Chen Wei Wei Zheng Lin Xianhao Chen Kaibin Huang 59 49 0 09 Jul 2024
SparseDM: Toward Sparse Efficient Diffusion Models Kafeng Wang Jianfei Chen He Li Zhenpeng Mi Jun-Jie Zhu DiffM 83 8 0 16 Apr 2024
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 42 39 0 27 Sep 2021
Neural Pruning via Growing Regularization Huan Wang Can Qin Yulun Zhang Y. Fu 50 144 0 16 Dec 2020
HRank: Filter Pruning using High-Rank Feature Map Mingbao Lin Rongrong Ji Yan Wang Yichen Zhang Baochang Zhang Yonghong Tian Ling Shao 41 719 0 24 Feb 2020
Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning Sejun Park Jaeho Lee Sangwoo Mo Jinwoo Shin 25 92 0 12 Feb 2020
Neural Network Pruning with Residual-Connections and Limited-Data Jian-Hao Luo Jianxin Wu 26 112 0 19 Nov 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 51 866 0 25 Jun 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 33 241 0 23 May 2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis Chaoqi Wang Roger C. Grosse Sanja Fidler Guodong Zhang 38 121 0 15 May 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu Haoyuan Mu Xiangyu Zhang Zichao Guo Xin Yang K. Cheng Jian Sun 46 557 0 25 Mar 2019
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 60 1,346 0 10 Feb 2018
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 89 2,407 0 22 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 184 2,513 0 19 Jul 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 401 10,281 0 16 Nov 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 151 3,676 0 31 Aug 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 532 36,599 0 25 Aug 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 168 8,793 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 169 6,628 0 08 Jun 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 222 43,511 0 17 Sep 2014