Data-Driven Sparse Structure Selection for Deep Neural Networks

5 July 2017

Papers citing "Data-Driven Sparse Structure Selection for Deep Neural Networks"

50 / 273 papers shown

Title
Putting 3D Spatially Sparse Networks on a Diet Junha Lee Chris Choy Jaesik Park 3DV 28 3 0 02 Dec 2021
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency Tianshu Xie Xuan Cheng Minghui Liu Jiali Deng Xiaomin Wang Meilin Liu SupR 16 1 0 02 Dec 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Fei Wu Jingren Zhou Hongxia Yang 16 91 0 11 Nov 2021
Estimating and Maximizing Mutual Information for Knowledge Distillation A. Shrivastava Yanjun Qi Vicente Ordonez 14 5 0 29 Oct 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 19 128 0 26 Oct 2021
Applications and Techniques for Fast Machine Learning in Science A. Deiana Nhan Tran Joshua C. Agar Michaela Blott G. D. Guglielmo ... Ashish Sharma S. Summers Pietro Vischia J. Vlimant Olivia Weng 6 71 0 25 Oct 2021
Exploring Gradient Flow Based Saliency for DNN Model Compression Xinyu Liu Baopu Li Zhen Chen Yixuan Yuan FAtt 6 9 0 24 Oct 2021
Class-Discriminative CNN Compression Yuchen Liu D. Wentzlaff S. Kung 24 1 0 21 Oct 2021
Neural Network Pruning Through Constrained Reinforcement Learning Shehryar Malik Muhammad Umair Haider O. Iqbal M. Taj 24 0 0 16 Oct 2021
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search Jiaqi Li Haoran Li Yaran Chen Zixiang Ding Nannan Li Mingjun Ma Zicheng Duan Dong Zhao 35 9 0 08 Oct 2021
Neural network relief: a pruning algorithm based on neural activity Aleksandr Dekhovich David Tax M. Sluiter Miguel A. Bessa 43 10 0 22 Sep 2021
Learning Versatile Convolution Filters for Efficient Visual Recognition Kai Han Yunhe Wang Chang Xu Chunjing Xu Enhua Wu Dacheng Tao 13 8 0 20 Sep 2021
$On the Compression of Neural Networks Using $\ell_0$-Norm Regularization and Weight Pruning$ On the Compression of Neural Networks Using $\ell_0$ -Norm Regularization and Weight Pruning F. Oliveira E. Batista R. Seara 12 9 0 10 Sep 2021
Layer-wise Model Pruning based on Mutual Information Chun Fan Jiwei Li Xiang Ao Fei Wu Yuxian Meng Xiaofei Sun 38 19 0 28 Aug 2021
Pruning in the Face of Adversaries F. Merkle Maximilian Samsinger Pascal Schöttle AAML CVBM 22 3 0 19 Aug 2021
On the Effect of Pruning on Adversarial Robustness Artur Jordão Hélio Pedrini AAML 32 22 0 10 Aug 2021
Differentiable Subset Pruning of Transformer Heads Jiaoda Li Ryan Cotterell Mrinmaya Sachan 37 53 0 10 Aug 2021
Group Fisher Pruning for Practical Network Compression Liyang Liu Shilong Zhang Zhanghui Kuang Aojun Zhou Jingliang Xue Xinjiang Wang Yimin Chen Wenming Yang Q. Liao Wayne Zhang 25 146 0 02 Aug 2021
Model Preserving Compression for Neural Networks Jerry Chee Megan Flynn Anil Damle Chris De Sa 11 7 0 30 Jul 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 14 102 0 15 Jul 2021
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion Mingbao Lin Bohong Chen Fei Chao Rongrong Ji VLM 25 23 0 14 Jul 2021
Blending Pruning Criteria for Convolutional Neural Networks Wei He Zhongzhan Huang Mingfu Liang Senwei Liang Haizhao Yang CVBM 9 13 0 11 Jul 2021
Learned Token Pruning for Transformers Sehoon Kim Sheng Shen D. Thorsley A. Gholami Woosuk Kwon Joseph Hassoun Kurt Keutzer 9 145 0 02 Jul 2021
Dep- $L_0$ : Improving $L_0$ -based Network Sparsification via Dependency Modeling Yang Li Shihao Ji 10 1 0 30 Jun 2021
AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning Guangmeng Zhou Ke Xu Qi Li Yang Liu Yi Zhao 13 8 0 27 Jun 2021
Cogradient Descent for Dependable Learning Runqi Wang Baochang Zhang Lian Zhuo QiXiang Ye David Doermann 16 0 0 20 Jun 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning Chen Zhang Yinghao Xu Yujun Shen VLM SSL 8 10 0 19 Jun 2021
DECORE: Deep Compression with Reinforcement Learning Manoj Alwani Yang Wang Vashisht Madhavan AI4CE 18 40 0 11 Jun 2021
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks Yue Wu Yuan Lan Luchan Zhang Yang Xiang 9 6 0 05 Jun 2021
Dynamic Resolution Network Mingjian Zhu Kai Han Enhua Wu Qiulin Zhang Ying Nie Zhenzhong Lan Yunhe Wang OOD 16 49 0 05 Jun 2021
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly CVBM 11 20 0 31 May 2021
LEAP: Learnable Pruning for Transformer-based Models Z. Yao Xiaoxia Wu Linjian Ma Sheng Shen Kurt Keutzer Michael W. Mahoney Yuxiong He 20 7 0 30 May 2021
BCNet: Searching for Network Width with Bilaterally Coupled Network Xiu Su Shan You Fei-Yue Wang Chao Qian Changshui Zhang Chang Xu 55 34 0 21 May 2021
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening Wenqi Shao Hang Yu Zhaoyang Zhang Hang Xu Zhenguo Li Ping Luo AAML 12 2 0 13 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 18 16 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
EZCrop: Energy-Zoned Channels for Robust Output Pruning R. Lin Jie Ran Dongpeng Wang King Hung Chiu Ngai Wong 11 6 0 08 May 2021
Carrying out CNN Channel Pruning in a White Box Yu-xin Zhang Mingbao Lin Chia-Wen Lin Jie Chen Feiyue Huang Yongjian Wu Yonghong Tian R. Ji VLM 33 58 0 24 Apr 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 16 38 0 20 Mar 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning Seul-Ki Yeom Kyung-Hwan Shim Jee-Hyun Hwang CVBM 25 12 0 19 Mar 2021
Differentiable Neural Architecture Learning for Efficient Neural Network Design Qingbei Guo Xiaojun Wu J. Kittler Zhiquan Feng 6 2 0 03 Mar 2021
Embedded Knowledge Distillation in Depth-Level Dynamic Neural Network Qi Zhao Shuchang Lyu Zhiwei Zhang Ting-Bing Xu Guangliang Cheng 21 2 0 01 Mar 2021
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs Zhiwei Xu Thalaiyasingam Ajanthan Vibhav Vineet Richard I. Hartley 21 3 0 09 Feb 2021
A Deeper Look into Convolutions via Eigenvalue-based Pruning Ilke Çugu Emre Akbas FAtt 11 1 0 04 Feb 2021
AACP: Model Compression by Accurate and Automatic Channel Pruning Lanbo Lin Yujiu Yang Zhenhua Guo MQ 22 12 0 31 Jan 2021
Deep Model Compression based on the Training History S. H. Shabbeer Basha M. Farazuddin Viswanath Pulabaigari S. Dubey Snehasis Mukherjee VLM 10 17 0 30 Jan 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 124 671 0 24 Jan 2021
Network Pruning using Adaptive Exemplar Filters Mingbao Lin Rongrong Ji Shaojie Li Yan Wang Yongjian Wu Feiyue Huang QiXiang Ye VLM 11 53 0 20 Jan 2021
Network Automatic Pruning: Start NAP and Take a Nap Wenyuan Zeng Yuwen Xiong R. Urtasun 26 9 0 17 Jan 2021
Single-path Bit Sharing for Automatic Loss-aware Model Compression Jing Liu Bohan Zhuang Peng Chen Chunhua Shen Jianfei Cai Mingkui Tan MQ 13 7 0 13 Jan 2021