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
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 26 102 0 15 Jul 2021
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion Mingbao Lin Bohong Chen Rongrong Ji Rongrong Ji VLM 35 23 0 14 Jul 2021
LANA: Latency Aware Network Acceleration Pavlo Molchanov Jimmy Hall Hongxu Yin Jan Kautz Nicolò Fusi Arash Vahdat 25 11 0 12 Jul 2021
Structured Directional Pruning via Perturbation Orthogonal Projection YinchuanLi XiaofengLiu YunfengShao QingWang YanhuiGeng 35 2 0 12 Jul 2021
Blending Pruning Criteria for Convolutional Neural Networks Wei He Zhongzhan Huang Mingfu Liang Senwei Liang Haizhao Yang CVBM 25 13 0 11 Jul 2021
WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations Peidong Liu Zibin He Xiyu Yan Yong-jia Jiang Shutao Xia Feng Zheng Maowei Hu 35 10 0 07 Jul 2021
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget Nathan Hubens M. Mancas B. Gosselin Marius Preda T. Zaharia 23 8 0 05 Jul 2021
Content-Aware Convolutional Neural Networks Yong Guo Yaofo Chen Mingkui Tan Kui Jia Jian Chen Jingdong Wang 36 8 0 30 Jun 2021
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic Nidhi Gowdra R. Sinha Stephen G. MacDonell W. Yan 21 9 0 27 Jun 2021
IA-RED $^2$ : Interpretability-Aware Redundancy Reduction for Vision Transformers Bowen Pan Yikang Shen Yi Ding Zhangyang Wang Rogerio Feris A. Oliva VLM ViT 44 156 0 23 Jun 2021
Cogradient Descent for Dependable Learning Runqi Wang Baochang Zhang Lian Zhuo QiXiang Ye David Doermann 23 0 0 20 Jun 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning Chen Zhang Yinghao Xu Yujun Shen VLM SSL 16 10 0 19 Jun 2021
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI Geng Yuan Zhiheng Liao Xiaolong Ma Yuxuan Cai Zhenglun Kong ... Hongwu Peng Ning Liu Ao Ren Jinhui Wang Yanzhi Wang AAML 38 33 0 16 Jun 2021
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness James Diffenderfer Brian Bartoldson Shreya Chaganti Jize Zhang B. Kailkhura OOD 31 69 0 16 Jun 2021
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression Sheng Lin Wei Jiang Wei Wang Kaidi Xu Yanzhi Wang Shan Liu Songnan Li 23 1 0 15 Jun 2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks Nianhui Guo Joseph Bethge Haojin Yang Kai Zhong Xuefei Ning Christoph Meinel Yu Wang MQ 24 11 0 13 Jun 2021
Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems Kyle Vedder Eric Eaton 3DPC 21 13 0 12 Jun 2021
Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks Longqing Ye ViT 25 0 0 12 Jun 2021
DECORE: Deep Compression with Reinforcement Learning Manoj Alwani Yang Wang Vashisht Madhavan AI4CE 18 42 0 11 Jun 2021
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks Maciej Wołczyk Bartosz Wójcik Klaudia Bałazy Igor T. Podolak Jacek Tabor Marek Śmieja Tomasz Trzciñski AI4CE 20 49 0 09 Jun 2021
Chasing Sparsity in Vision Transformers: An End-to-End Exploration Tianlong Chen Yu Cheng Zhe Gan Lu Yuan Lei Zhang Zhangyang Wang ViT 24 216 0 08 Jun 2021
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks Melih Barsbey Romain Chor Murat A. Erdogdu Gaël Richard Umut Simsekli 22 41 0 07 Jun 2021
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks Yue Wu Yuan Lan Luchan Zhang Yang Xiang 22 6 0 05 Jun 2021
Patch Slimming for Efficient Vision Transformers Yehui Tang Kai Han Yunhe Wang Chang Xu Jianyuan Guo Chao Xu Dacheng Tao ViT 34 163 0 05 Jun 2021
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification Yongming Rao Wenliang Zhao Benlin Liu Jiwen Lu Jie Zhou Cho-Jui Hsieh ViT 34 670 0 03 Jun 2021
Single Image Depth Prediction with Wavelet Decomposition Michael Ramamonjisoa Michael Firman Jamie Watson Vincent Lepetit Daniyar Turmukhambetov MDE 16 55 0 03 Jun 2021
GANs Can Play Lottery Tickets Too Xuxi Chen Zhenyu Zhang Yongduo Sui Tianlong Chen GAN 24 58 0 31 May 2021
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos Lukas Hedegaard Alexandros Iosifidis 3DPC 25 14 0 31 May 2021
Accelerating Neural ODEs Using Model Order Reduction M. Lehtimäki L. Paunonen M. Linne 21 17 0 28 May 2021
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities L. Gonzalez-Carabarin Iris A. M. Huijben Bastian Veeling A. Schmid Ruud J. G. van Sloun 24 10 0 26 May 2021
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network Jinyang Guo Dong Xu Guo Lu 19 9 0 26 May 2021
Towards Compact CNNs via Collaborative Compression Yuchao Li Shaohui Lin Jianzhuang Liu QiXiang Ye Mengdi Wang Rongrong Ji Fan Yang Jincheng Ma Qi Tian Rongrong Ji 3DV 32 88 0 24 May 2021
AirNet: Neural Network Transmission over the Air Mikolaj Jankowski Deniz Gunduz K. Mikolajczyk 70 1 0 24 May 2021
BCNet: Searching for Network Width with Bilaterally Coupled Network Xiu Su Shan You Fei-Yue Wang Chao Qian Changshui Zhang Chang Xu 71 34 0 21 May 2021
Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning M. Tayyab Fahad A Khan Abhijit Mahalanobis 3DPC 16 1 0 21 May 2021
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices Mustafa Ayazoglu 8 57 0 21 May 2021
Efficient and Robust LiDAR-Based End-to-End Navigation Zhijian Liu Alexander Amini Sibo Zhu S. Karaman Song Han Daniela Rus 190 47 0 20 May 2021
Model Pruning Based on Quantified Similarity of Feature Maps Zidu Wang Xue-jun Liu Long Huang Yuxiang Chen Yufei Zhang Zhikang Lin Rui Wang 21 16 0 13 May 2021
Compatibility-aware Heterogeneous Visual Search Rahul Duggal Hao Zhou Shuo Yang Yuanjun Xiong W. Xia Zhuowen Tu Stefano Soatto 49 24 0 13 May 2021
Dynamical Isometry: The Missing Ingredient for Neural Network Pruning Huan Wang Can Qin Yue Bai Y. Fu 13 5 0 12 May 2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning Hongkuan Zhou Ajitesh Srivastava Hanqing Zeng Rajgopal Kannan Viktor Prasanna GNN 19 65 0 10 May 2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference Min Li Yu Li Ye Tian Li Jiang Qiang Xu 41 33 0 10 May 2021
EZCrop: Energy-Zoned Channels for Robust Output Pruning R. Lin Jie Ran Dongpeng Wang King Hung Chiu Ngai Wong 21 6 0 08 May 2021
Network Pruning That Matters: A Case Study on Retraining Variants Duong H. Le Binh-Son Hua 29 41 0 07 May 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods Jary Pomponi Simone Scardapane A. Uncini UQCV 49 7 0 06 May 2021
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression Baeseong Park S. Kwon Daehwan Oh Byeongwook Kim Dongsoo Lee 27 4 0 05 May 2021
Effective Sparsification of Neural Networks with Global Sparsity Constraint Xiao Zhou Weizhong Zhang Hang Xu Tong Zhang 21 61 0 03 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 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 39 58 0 24 Apr 2021
Skip-Convolutions for Efficient Video Processing A. Habibian Davide Abati Taco S. Cohen B. Bejnordi 54 50 0 23 Apr 2021