Channel Pruning for Accelerating Very Deep Neural Networks

19 July 2017

Xiangyu Zhang

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

50 / 1,090 papers shown

Title
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications Han Cai Ji Lin Chengyue Wu Zhijian Liu Haotian Tang Hanrui Wang Ligeng Zhu Song Han 27 108 0 25 Apr 2022
IMDeception: Grouped Information Distilling Super-Resolution Network Mustafa Ayazoglu 48 5 0 25 Apr 2022
Boosting Pruned Networks with Linear Over-parameterization Yundi Qian Siyuan Pan Xiaoshuang Li Jie Zhang Liang Hou Xiaobing Tu 11 2 0 25 Apr 2022
Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation Lu Zhang Siqi Zhang Xu Yang Hong Qiao Zhiyong Liu 19 11 0 21 Apr 2022
Receding Neuron Importances for Structured Pruning Mihai Suteu Yike Guo 24 1 0 13 Apr 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier Seongmin Lee Zijie J. Wang Judy Hoffman Duen Horng Chau 26 11 0 12 Apr 2022
Compact Model Training by Low-Rank Projection with Energy Transfer K. Guo Zhenquan Lin Xiaofen Xing Fang Liu Xiangmin Xu 40 2 0 12 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 38 11 0 06 Apr 2022
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network Byung-Kwan Lee Junho Kim Y. Ro AAML 17 18 0 06 Apr 2022
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective Jinbin Huang Aditi Mishra Bum Chul Kwon Chris Bryan FAtt HAI 46 31 0 04 Apr 2022
Supervised Robustness-preserving Data-free Neural Network Pruning Mark Huasong Meng Guangdong Bai Sin Gee Teo Jin Song Dong AAML 26 4 0 02 Apr 2022
Structured Pruning Learns Compact and Accurate Models Mengzhou Xia Zexuan Zhong Danqi Chen VLM 11 180 0 01 Apr 2022
CHEX: CHannel EXploration for CNN Model Compression Zejiang Hou Minghai Qin Fei Sun Xiaolong Ma Kun Yuan Yi Xu Yen-kuang Chen Rong Jin Yuan Xie S. Kung 21 72 0 29 Mar 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Paul Gavrikov J. Keuper AAML 24 31 0 29 Mar 2022
A Fast Post-Training Pruning Framework for Transformers Woosuk Kwon Sehoon Kim Michael W. Mahoney Joseph Hassoun Kurt Keutzer A. Gholami 29 144 0 29 Mar 2022
On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks Hongru Yang Zhangyang Wang MLT 42 8 0 27 Mar 2022
Searching for Network Width with Bilaterally Coupled Network Xiu Su Shan You Jiyang Xie Fei Wang Chao Qian Changshui Zhang Chang Xu 35 6 0 25 Mar 2022
Towards Device Efficient Conditional Image Generation Nisarg A. Shah Gaurav Bharaj 17 3 0 19 Mar 2022
Delta Distillation for Efficient Video Processing A. Habibian H. Yahia Davide Abati E. Gavves Fatih Porikli 11 10 0 17 Mar 2022
Complexity Reduction of Learned In-Loop Filtering in Video Coding Woody Bayliss L. Murn E. Izquierdo Qianni Zhang M. Mrak 6 0 0 16 Mar 2022
Unified Visual Transformer Compression Shixing Yu Tianlong Chen Jiayi Shen Huan Yuan Jianchao Tan Sen Yang Ji Liu Zhangyang Wang ViT 22 92 0 15 Mar 2022
AugShuffleNet: Communicate More, Compute Less Longqing Ye 17 7 0 13 Mar 2022
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety Nathan Hubens M. Mancas B. Gosselin Marius Preda T. Zaharia 21 2 0 11 Mar 2022
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi Suraj Srinivas Simon Lacoste-Julien 22 18 0 09 Mar 2022
Update Compression for Deep Neural Networks on the Edge Bo Chen A. Bakhshi Gustavo E. A. P. A. Batista Brian Ng Tat-Jun Chin 31 17 0 09 Mar 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks Xin Yu Thiago Serra Srikumar Ramalingam Shandian Zhe 44 48 0 09 Mar 2022
Dual Lottery Ticket Hypothesis Yue Bai Haiquan Wang Zhiqiang Tao Kunpeng Li Yun Fu 29 37 0 08 Mar 2022
Dynamic ConvNets on Tiny Devices via Nested Sparsity Matteo Grimaldi Luca Mocerino A. Cipolletta A. Calimera 30 6 0 07 Mar 2022
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance Shiwei Liu Yuesong Tian Tianlong Chen Li Shen 38 8 0 05 Mar 2022
Structured Pruning is All You Need for Pruning CNNs at Initialization Yaohui Cai Weizhe Hua Hongzheng Chen G. E. Suh Christopher De Sa Zhiru Zhang CVBM 49 14 0 04 Mar 2022
Provable and Efficient Continual Representation Learning Yingcong Li Mingchen Li Ulugbek S. Kamilov Samet Oymak CLL 30 11 0 03 Mar 2022
Multi-Tailed Vision Transformer for Efficient Inference Yunke Wang Bo Du Wenyuan Wang Chang Xu ViT 220 6 0 03 Mar 2022
Distilled Neural Networks for Efficient Learning to Rank F. M. Nardini Cosimo Rulli Salvatore Trani Rossano Venturini FedML 29 16 0 22 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 100 47 0 20 Feb 2022
Practical Network Acceleration with Tiny Sets G. Wang Jianxin Wu 40 9 0 16 Feb 2022
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks Jiachen Zhong Junying Chen Ajmal Mian 12 58 0 15 Feb 2022
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters Mingbao Lin Liujuan Cao Yuxin Zhang Ling Shao Chia-Wen Lin Rongrong Ji 35 51 0 15 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets Xupeng Shi Pengfei Zheng Adam Ding Yuan Gao Weizhong Zhang AAML 31 1 0 14 Feb 2022
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets Tianlong Chen Xuxi Chen Xiaolong Ma Yanzhi Wang Zhangyang Wang 24 35 0 09 Feb 2022
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning Meet P. Vadera Adam D. Cobb Brian Jalaian Benjamin M. Marlin BDL 32 2 0 08 Feb 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training Shiwei Liu Tianlong Chen Xiaohan Chen Li Shen Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy 13 106 0 05 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu Ziqi Zhao Sabine Süsstrunk Mathieu Salzmann TPM AAML MQ 32 4 0 03 Feb 2022
Cyclical Pruning for Sparse Neural Networks Suraj Srinivas Andrey Kuzmin Markus Nagel M. V. Baalen Andrii Skliar Tijmen Blankevoort 38 13 0 02 Feb 2022
Accelerating DNN Training with Structured Data Gradient Pruning Bradley McDanel Helia Dinh J. Magallanes 17 7 0 01 Feb 2022
Few-Shot Backdoor Attacks on Visual Object Tracking Yiming Li Haoxiang Zhong Xingjun Ma Yong Jiang Shutao Xia AAML 38 53 0 31 Jan 2022
SPDY: Accurate Pruning with Speedup Guarantees Elias Frantar Dan Alistarh 44 33 0 31 Jan 2022
OptG: Optimizing Gradient-driven Criteria in Network Sparsity Yuxin Zhang Mingbao Lin Yonghong Tian Rongrong Ji Rongrong Ji 44 5 0 30 Jan 2022
On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections Mohammadreza Soltani Suya Wu Yuerong Li Jie Ding Vahid Tarokh 3DPC 36 0 0 26 Jan 2022
Adaptive Activation-based Structured Pruning Kaiqi Zhao Animesh Jain Ming Zhao 22 1 0 21 Jan 2022
UWC: Unit-wise Calibration Towards Rapid Network Compression Chen Lin Zheyang Li Bo Peng Haoji Hu Wenming Tan Ye Ren Shiliang Pu MQ 32 1 0 17 Jan 2022