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Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness Pu Zhao Pin-Yu Chen Payel Das Karthikeyan N. Ramamurthy Xue Lin AAML 152 191 0 30 Apr 2020
Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima Enzo Tartaglione Andrea Bragagnolo Marco Grangetto 66 12 0 30 Apr 2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks Yuhui Xu Yuxi Li Shuai Zhang W. Wen Botao Wang Y. Qi Yiran Chen Weiyao Lin H. Xiong AAML 78 71 0 30 Apr 2020
Rethinking Class-Discrimination Based CNN Channel Pruning Yuchen Liu D. Wentzlaff S. Kung 51 10 0 29 Apr 2020
WoodFisher: Efficient Second-Order Approximation for Neural Network Compression Sidak Pal Singh Dan Alistarh 70 28 0 29 Apr 2020
Do We Need Fully Connected Output Layers in Convolutional Networks? Zhongchao Qian Tyler L. Hayes Kushal Kafle Christopher Kanan 49 9 0 28 Apr 2020
FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training Sangkug Lym M. Erez 36 26 0 27 Apr 2020
Filter Grafting for Deep Neural Networks: Reason, Method, and Cultivation Hao Cheng Fanxu Meng Ke Li Huixiang Luo Guangming Lu Xing Sun Feiyue Huang 20 0 0 26 Apr 2020
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning Zhongzhan Huang Wenqi Shao Xinjiang Wang Liang Lin Ping Luo 75 56 0 24 Apr 2020
SIPA: A Simple Framework for Efficient Networks Gihun Lee Sangmin Bae Jaehoon Oh Seyoung Yun 19 1 0 24 Apr 2020
Automatic low-bit hybrid quantization of neural networks through meta learning Tao Wang Junsong Wang Chang Xu Chao Xue MQ 23 2 0 24 Apr 2020
Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices Yawen Wu Zhepeng Wang Zhenge Jia Yiyu Shi Jiaxi Hu 86 54 0 23 Apr 2020
MGX: Near-Zero Overhead Memory Protection for Data-Intensive Accelerators Weizhe Hua M. Umar Zhiru Zhang G. E. Suh GNN 100 21 0 20 Apr 2020
Efficient Synthesis of Compact Deep Neural Networks Wenhan Xia Hongxu Yin N. Jha 57 3 0 18 Apr 2020
Non-Blocking Simultaneous Multithreading: Embracing the Resiliency of Deep Neural Networks Gil Shomron U. Weiser 47 15 0 17 Apr 2020
Training with Quantization Noise for Extreme Model Compression Angela Fan Pierre Stock Benjamin Graham Edouard Grave Remi Gribonval Hervé Jégou Armand Joulin MQ 111 246 0 15 Apr 2020
A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods Tianyun Zhang Xiaolong Ma Zheng Zhan Shangli Zhou Minghai Qin Fei Sun Yen-kuang Chen Caiwen Ding M. Fardad Yanzhi Wang 40 5 0 12 Apr 2020
GeneCAI: Genetic Evolution for Acquiring Compact AI Mojan Javaheripi Mohammad Samragh T. Javidi F. Koushanfar 74 9 0 08 Apr 2020
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression Yihuan Mao Yujing Wang Chufan Wu Chen Zhang Yang-Feng Wang Yaming Yang Quanlu Zhang Yunhai Tong Jing Bai 60 74 0 08 Apr 2020
Teacher-Class Network: A Neural Network Compression Mechanism Shaiq Munir Malik Muhammad Umair Haider Fnu Mohbat Musab Rasheed M. Taj 85 5 0 07 Apr 2020
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents Richard Meyes Moritz Schneider Tobias Meisen 55 2 0 07 Apr 2020
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio Zhengsu Chen J. Niu Lingxi Xie Xuefeng Liu Longhui Wei Qi Tian 54 12 0 06 Apr 2020
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs Jun Chen Lu Liu Yong Liu Xianfang Zeng MQ 91 28 0 06 Apr 2020
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation Xuefei Ning Tianchen Zhao Wenshuo Li Peng Lei Yu Wang Huazhong Yang 90 104 0 05 Apr 2020
TimeGate: Conditional Gating of Segments in Long-range Activities Noureldien Hussein Mihir Jain B. Bejnordi AI4TS 108 16 0 03 Apr 2020
Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle Kaveena Persand Andrew Anderson David Gregg 26 2 0 03 Apr 2020
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations Richard Meyes Constantin Waubert de Puiseau Andres Felipe Posada-Moreno Tobias Meisen AI4CE 78 22 0 02 Apr 2020
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization Sangwon Jung Hongjoon Ahn Sungmin Cha Taesup Moon CLL 88 128 0 30 Mar 2020
How Not to Give a FLOP: Combining Regularization and Pruning for Efficient Inference Tai Vu Emily Wen Roy Nehoran 19 5 0 30 Mar 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets D. Haase Manuel Amthor 64 136 0 30 Mar 2020
Nonconvex sparse regularization for deep neural networks and its optimality Ilsang Ohn Yongdai Kim 71 19 0 26 Mar 2020
SPFCN: Select and Prune the Fully Convolutional Networks for Real-time Parking Slot Detection Zhuoping Yu Zhong Gao Hansheng Chen Yuyao Huang 58 16 0 25 Mar 2020
A Survey of Methods for Low-Power Deep Learning and Computer Vision Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal VLM 53 95 0 24 Mar 2020
Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization Cedric De Boom Samuel T. Wauthier Tim Verbelen Bart Dhoedt DRL 35 6 0 24 Mar 2020
Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting Lemeng Wu Mao Ye Qi Lei Jason D. Lee Qiang Liu 88 15 0 23 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer Lingbo Liu Jiaqi Chen Hefeng Wu Tianshui Chen Guanbin Li Liang Lin 98 65 0 23 Mar 2020
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology Xinyu Liu Xiren Miao Hao Jiang Jia Chen 55 12 0 22 Mar 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 225 192 0 19 Mar 2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming Madan Ravi Ganesh Jason J. Corso Salimeh Yasaei Sekeh MQ 104 16 0 18 Mar 2020
Collaborative Distillation for Ultra-Resolution Universal Style Transfer Huan Wang Yijun Li Yuehai Wang Haoji Hu Ming-Hsuan Yang 172 103 0 18 Mar 2020
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping Jiaxiong Qiu Cai Chen Shuaicheng Liu B. Zeng 113 41 0 16 Mar 2020
Resolution Adaptive Networks for Efficient Inference Le Yang Yizeng Han Xi Chen Shiji Song Jifeng Dai Gao Huang 106 219 0 16 Mar 2020
Channel Pruning Guided by Classification Loss and Feature Importance Jinyang Guo Wanli Ouyang Dong Xu 64 54 0 15 Mar 2020
CoCoPIE: Making Mobile AI Sweet As PIE --Compression-Compilation Co-Design Goes a Long Way Shaoshan Liu Bin Ren Xipeng Shen Yanzhi Wang 69 18 0 14 Mar 2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration Jun Shi Jianfeng Xu K. Tasaka Zhibo Chen 78 25 0 12 Mar 2020
Highly Efficient Salient Object Detection with 100K Parameters Shanghua Gao Yong-qiang Tan Ming-Ming Cheng Chengze Lu Yunpeng Chen Shuicheng Yan 306 172 0 12 Mar 2020
Channel Pruning via Optimal Thresholding Yun Ye Ganmei You Jong-Kae Fwu Xia Zhu Q. Yang Yuan Zhu 47 12 0 10 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 293 1,058 0 06 Mar 2020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training Bai Li Shiqi Wang Yunhan Jia Yantao Lu Zhenyu Zhong Lawrence Carin Suman Jana AAML 142 14 0 06 Mar 2020
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks Sourjya Roy Priyadarshini Panda G. Srinivasan A. Raghunathan 3DPC VLM 70 19 0 05 Mar 2020