Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
GeneCAI: Genetic Evolution for Acquiring Compact AI Mojan Javaheripi Mohammad Samragh T. Javidi F. Koushanfar 45 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 22 72 0 08 Apr 2020
Teacher-Class Network: A Neural Network Compression Mechanism Shaiq Munir Malik Muhammad Umair Haider Fnu Mohbat Musab Rasheed M. Taj 27 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 28 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 27 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 41 26 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 24 103 0 05 Apr 2020
TimeGate: Conditional Gating of Segments in Long-range Activities Noureldien Hussein Mihir Jain B. Bejnordi AI4TS 18 16 0 03 Apr 2020
Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle Kaveena Persand Andrew Anderson David Gregg 21 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 30 21 0 02 Apr 2020
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization Sangwon Jung Hongjoon Ahn Sungmin Cha Taesup Moon CLL 25 120 0 30 Mar 2020
How Not to Give a FLOP: Combining Regularization and Pruning for Efficient Inference Tai Vu Emily Wen Roy Nehoran 12 5 0 30 Mar 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets D. Haase Manuel Amthor 20 132 0 30 Mar 2020
Nonconvex sparse regularization for deep neural networks and its optimality Ilsang Ohn Yongdai Kim 17 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 30 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 15 92 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 20 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 6 14 0 23 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer Lingbo Liu Jiaqi Chen Hefeng Wu Tianshui Chen Guanbin Li Liang Lin 29 64 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 25 11 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 139 189 0 19 Mar 2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming Madan Ravi Ganesh Jason J. Corso Salimeh Yasaei Sekeh MQ 48 15 0 18 Mar 2020
Collaborative Distillation for Ultra-Resolution Universal Style Transfer Huan Wang Yijun Li Yuehai Wang Haoji Hu Ming-Hsuan Yang 117 103 0 18 Mar 2020
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping Jiaxiong Qiu Cai Chen Shuaicheng Liu B. Zeng 22 39 0 16 Mar 2020
Resolution Adaptive Networks for Efficient Inference Le Yang Yizeng Han Xi Chen Shiji Song Jifeng Dai Gao Huang 24 215 0 16 Mar 2020
Channel Pruning Guided by Classification Loss and Feature Importance Jinyang Guo Wanli Ouyang Dong Xu 32 53 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 17 18 0 14 Mar 2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration Jun Shi Jianfeng Xu K. Tasaka Zhibo Chen 6 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 231 168 0 12 Mar 2020
Channel Pruning via Optimal Thresholding Yun Ye Ganmei You Jong-Kae Fwu Xia Zhu Q. Yang Yuan Zhu 14 12 0 10 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,032 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 31 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 34 19 0 05 Mar 2020
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications Chinthaka Gamanayake Lahiru Jayasinghe Benny Kai Kiat Ng Chau Yuen VLM 28 45 0 05 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 237 383 0 05 Mar 2020
Privacy-preserving Learning via Deep Net Pruning Yangsibo Huang Yushan Su S. S. Ravi Zhao Song Sanjeev Arora Keqin Li MLT 22 16 0 04 Mar 2020
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection Mao Ye Chengyue Gong Lizhen Nie Denny Zhou Adam R. Klivans Qiang Liu 43 108 0 03 Mar 2020
A Note on Latency Variability of Deep Neural Networks for Mobile Inference Luting Yang Bingqian Lu Shaolei Ren 19 6 0 29 Feb 2020
Learned Threshold Pruning K. Azarian Yash Bhalgat Jinwon Lee Tijmen Blankevoort MQ 28 38 0 28 Feb 2020
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression R. Lin Ching-Yun Ko Zhuolun He Cong Chen Yuan Cheng Hao Yu G. Chesi Ngai Wong 39 6 0 28 Feb 2020
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers Zhuohan Li Eric Wallace Sheng Shen Kevin Lin Kurt Keutzer Dan Klein Joseph E. Gonzalez 22 148 0 26 Feb 2020
HYDRA: Pruning Adversarially Robust Neural Networks Vikash Sehwag Shiqi Wang Prateek Mittal Suman Jana AAML 22 25 0 24 Feb 2020
HRank: Filter Pruning using High-Rank Feature Map Mingbao Lin Rongrong Ji Yan Wang Yichen Zhang Baochang Zhang Yonghong Tian Ling Shao 13 717 0 24 Feb 2020
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks Sai Aparna Aketi Sourjya Roy A. Raghunathan Kaushik Roy 24 22 0 23 Feb 2020
HarDNN: Feature Map Vulnerability Evaluation in CNNs Abdulrahman Mahmoud S. Hari Christopher W. Fletcher Sarita Adve Charbel Sakr Naresh R Shanbhag Pavlo Molchanov Michael B. Sullivan Timothy Tsai S. Keckler 27 38 0 22 Feb 2020
Robust Pruning at Initialization Soufiane Hayou Jean-François Ton Arnaud Doucet Yee Whye Teh 22 46 0 19 Feb 2020
Knapsack Pruning with Inner Distillation Y. Aflalo Asaf Noy Ming Lin Itamar Friedman Lihi Zelnik-Manor 3DPC 17 34 0 19 Feb 2020
Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle Xinyu Zhang Kai Zhao Taihong Xiao Mingg-Ming Cheng Ming-Hsuan Yang 28 1 0 19 Feb 2020
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming M. Elaraby Guy Wolf Margarida Carvalho 26 5 0 17 Feb 2020
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving Wei Deng Junwei Pan Tian Zhou Deguang Kong Aaron Flores Guang Lin 20 4 0 17 Feb 2020