Channel Pruning for Accelerating Very Deep Neural Networks

Cited by (1,002)

Items 301–400 of 1,002

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    Huan Wang, Qiming Zhang, Yuehai Wang, Hu, Haoji · 2017 · arXiv (Cornell University)
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14. NestedNet: Learning Nested Sparse Structures in Deep Neural Networks
    Eunwoo Kim, Chanho Ahn, Songhwai Oh · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
15. Convolutional Neural Network Pruning: A Survey
    Sheng Hua Xu, Anran Huang, Lei Chen, Baochang Zhang · 2020 · Chinese Control Conference (CCC)
16. CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics
    Li Guan, Junpeng Wang, Han‐Wei Shen, Kaixin Chen, Guihua Shan, Zhonghua Lu · 2020 · IEEE Transactions on Visualization and Computer Graphics
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    Amirhossein Habibian, Davide Abati, Taco Cohen, Babak Ehteshami Bejnordi · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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20. Crossbar-Aware Neural Network Pruning
    Ling Liang, Lei Deng, Yueling Jenny Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie · 2018 · IEEE Access
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    Julia Gusak, Maksym Kholiavchenko, Evgeny Ponomarev, Larisa Markeeva, Philip Blagoveschensky, Andrzej S Cichocki, Ivan Valer'evich Oseledets · 2019 · IEEE International Conference on Computer Vision Workshops
22. Channel Pruning Guided by Classification Loss and Feature Importance
    Jinyang Guo, Wanli Ouyang, Dong Xu · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
23. The Convolutional Neural Networks Training With Channel-Selectivity for Human Activity Recognition Based on Sensors
    Wenbo Huang, Lei Zhang, Qi Teng, Chaoda Song, Jun He · 2021 · IEEE Journal of Biomedical and Health Informatics
24. ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs.
    Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang · 2018 · arXiv (Cornell University)
25. HAQ: Hardware-Aware Automated Quantization
    Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han · 2018 · arXiv (Cornell University)
26. RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition
    Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao · 2020 · ACM/IEEE Design Automation Conference (DAC)
27. Fusing CNNs and statistical indicators to improve image classification
    Javier Huertas‐Tato, Alejandro G. Martín, Julián Fiérrez, David Camacho · 2021 · Information Fusion
28. Prune Your Model Before Distill It
    Jinhyuk Park, Albert No · 2022 · Lecture notes in computer science
29. YOLO-LWNet: A Lightweight Road Damage Object Detection Network for Mobile Terminal Devices
    Chenguang Wu, Min Ye, Jiale Zhang, Yuchuan Ma · 2023 · Sensors
30. ADC: Automated Deep Compression and Acceleration with Reinforcement Learning.
    Yihui He, Song Han · 2018 · arXiv (Cornell University)
31. Neural Network Distiller: A Python Package For DNN Compression Research
    Neta Zmora, Jacob, Guy, Lev Zlotnik, Bar Elharar, Gal Novik · 2019 · arXiv (Cornell University)
32. Local Adaptive Illumination-Driven Input-Level Fusion for Infrared and Visible Object Detection
    Jiawen Wu, Tao Shen, Qing-Wang Wang, Zhimin Tao, Kai Zeng, Jian Song · 2023 · Remote Sensing
33. Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
    Junkyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Hua Yang, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck · 2023 · ACM Computing Surveys
34. Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
    Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam et al. · 2022 · Springer eBooks
35. Efficient and Robust LiDAR-Based End-to-End Navigation
    Zhijian Liu, Alexander Amini, Sibo Zhu, Sertaç Karaman, Song Han, Daniela L. Rus · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
36. Hessian-Aware Pruning and Optimal Neural Implant
    Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Sehoon Kim, Michael W. Mahoney, Kurt Keutzer · 2022 · IEEE Winter Conference on Applications of Computer Vision
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    Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han · 2021 · arXiv (Cornell University)
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    Haoyu Zhang, Lei Yu, Yushi Chen, Yinsheng Wei · 2021 · Remote Sensing
39. Automatic channel pruning via clustering and swarm intelligence optimization for CNN
    Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei · 2022 · Applied Intelligence
40. ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective
    Jinbin Huang, Aditi Mishra, Bum Chul Kwon, Chris Bryan · 2022 · IEEE Transactions on Visualization and Computer Graphics
41. DECORE: Deep Compression with Reinforcement Learning
    Manoj Alwani, Yang Wang, Vashisht Madhavan · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
42. Convolutional neural network pruning based on multi-objective feature map selection for image classification
    Pengcheng Jiang, Yu Xue, Ferrante Neri · 2023 · Applied Soft Computing
43. Deep Expander Networks: Efficient Deep Networks from Graph Theory
    Ameya Prabhu, Girish Varma, Anoop Namboodiri · 2018 · Lecture notes in computer science
44. Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning
    Guangli Li, Xiu Ma, Xueying Wang, Hengshan Yue, Jiansong Li, Lei Liu, Xiaobing Feng, Jingling Xue · 2022 · Journal of Systems Architecture
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    Sara Elkerdawy, Mostafa Elhoushi, Hong Zhang, Nilanjan Ray · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
46. Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
    Huan Wang, Yulun Zhang, Can Qin, Luc Van Gool, Yun Fu · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
47. Artificial Intelligence for 5G Wireless Systems: Opportunities, Challenges, and Future Research Direction
    Youness Arjoune, Saleh Faruque · 2020 · IEEE Annual Computing and Communication Workshop and Conference (CCWC)
48. Structured Compression by Weight Encryption for Unstructured Pruning and Quantization
    Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
49. CCPrune: Collaborative channel pruning for learning compact convolutional networks
    Yanming Chen, Xiang Wen, Yiwen Zhang, Weisong Shi · 2021 · Neurocomputing
50. Fast Deep Learning Training through Intelligently Freezing Layers
    Xueli Xiao, Thosini Bamunu Mudiyanselage, Chunyan Ji, Jie Hu, Yi Feng Pan · 2019 · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
51. Adaptive Filter Pruning via Sensitivity Feedback
    Yuyao Zhang, Nikolaos M. Freris · 2023 · IEEE Transactions on Neural Networks and Learning Systems
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    Lei, Haijun, Liu, Shaomin, Elazab, Ahmed, Gong, Xuehao, Lei, Baiying · 2021 · IEEE Journal of Biomedical and Health Informatics
53. Edge-Side Fine-Grained Sparse CNN Accelerator With Efficient Dynamic Pruning Scheme
    Bi Wu, Tianyang Yu, Ke Chen, Weiqiang Liu · 2024 · IEEE Transactions on Circuits and Systems I Regular Papers
54. OrthoNets: Orthogonal Channel Attention Networks
    Hadi Salman, Caleb Parks, Matthew Swan, John M. Gauch · 2023 · IEEE International Conference on Big Data (BigData)
55. Deep Neural Network Acceleration Based on Low-Rank Approximated Channel Pruning
    Zhen Chen, Zhibo Chen, Jianxin Lin, Sen Liu, Weiping Li · 2020 · IEEE Transactions on Circuits and Systems I Regular Papers
56. StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs
    Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu et al. · 2021 · IEEE Transactions on Neural Networks and Learning Systems
57. DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search
    Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang · 2022 · IEEE Transactions on Neural Networks and Learning Systems
58. Obstacle Detection System for Navigation Assistance of Visually Impaired People Based on Deep Learning Techniques
    Yahia Said, Mohamed Atri, Marwan Ali Albahar, Ahmed Ben Atitallah, Yazan Ahmad Alsariera · 2023 · Sensors
59. ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model
    Haichuan Yang, Yuhao Zhu, Ji Liu · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
60. Boosting the Performance of CNN Accelerators with Dynamic Fine-Grained Channel Gating
    Weizhe Hua, Yuan Joseph Zhou, Christopher De, Zhiru Zhang, G. Edward Suh · 2019 · IEEE/ACM International Symposium on Microarchitecture (MICRO)
61. Structured pruning of recurrent neural networks through neuron selection
    Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu · 2019 · Neural Networks
62. Discriminative Layer Pruning for Convolutional Neural Networks
    Artur Jordão, Maiko Lie, William Robson Schwartz · 2020 · IEEE Journal of Selected Topics in Signal Processing
63. O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference
    Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Runbin Shi, Wei Wu, Martin Herbordt · 2020 · IEEE Transactions on Parallel and Distributed Systems
64. CAP: Context-Aware Pruning for Semantic Segmentation
    Wei Peng He, Meiqing Wu, Mingfu Liang, Siew-Kei Lam · 2021 · IEEE Winter Conference on Applications of Computer Vision
65. General Bitwidth Assignment for Efficient Deep Convolutional Neural Network Quantization
    Wen Fei, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong · 2021 · IEEE Transactions on Neural Networks and Learning Systems
66. Soft Person Reidentification Network Pruning via Blockwise Adjacent Filter Decaying
    Xiaodong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang · 2021 · IEEE Transactions on Cybernetics
67. Reweighted Proximal Pruning for Large-Scale Language Representation
    Fu-Ming Guo, Sijia Liu, Finlay S. Mungall, Xue Lin, Yanzhi Wang · 2019 · arXiv (Cornell University)
68. MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
    Zhiqiang Shen, Marios Savvides · 2020 · arXiv (Cornell University)
69. SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation
    Yang Katie Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin · 2020 · Proceedings - International Symposium on Computer Architecture/Proceedings
70. Performance-Aware Approximation of Global Channel Pruning for Multitask CNNs
    Hancheng Ye, Bo Zhang, Tao Chen, Jiayuan Fan, Bin Wang · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
71. Automatic design of machine learning via evolutionary computation: A survey
    Nan Li, Lianbo Ma, Tiejun Xing, Guo Yu, Chen Wang, Yingyou Wen, Shi Cheng, Shangce Gao · 2023 · Applied Soft Computing
72. Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error
    Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang · 2018 · International Joint Conference on Artificial Intelligence
73. Butterfly Transform: An Efficient FFT Based Neural Architecture Design
    Keivan Alizadeh, Anish Prabhu, Ali Farhadi, Mohammad Rastegari · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
74. ASV
    Yu Feng, Paul N. Whatmough, Yuhao Zhu · 2019 · IEEE/ACM International Symposium on Microarchitecture (MICRO)
75. Boosting Bit-Error Resilience of DNN Accelerators Through Median Feature Selection
    Elbruz Ozen, Alex Orailoğlu · 2020 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
76. Towards Accurate and Compact Architectures via Neural Architecture Transformer
    Yong Fang Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
77. Training Compact CNNs for Image Classification Using Dynamic-Coded Filter Fusion
    Mingbao Lin, Bohong Chen, Fei Chao, Rongrong Ji · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
78. Real-time semantic segmentation for autonomous driving: A review of CNNs, Transformers, and Beyond
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79. Structured Pruning for Efficient ConvNets via Incremental Regularization
    Huan Wang, Qiming Zhang, Yuehai Wang, Lu Yu, Haoji Roland Hu · 2019 · International Joint Conference on Neural Networks (IJCNN)
80. EHANet: An Effective Hierarchical Aggregation Network for Face Parsing
    Ling Luo, Dingyü Xue, Xinglong Feng · 2020 · Applied Sciences
81. Automatic defect detection of texture surface with an efficient texture removal network
    Ying Liang, Ke Xu, Peng Zhou, Dongdong Zhou · 2022 · Advanced Engineering Informatics
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    Zhi Xu, Jingzhao Li, Yifan Meng, Xiaoming Zhang · 2022 · Sensors
83. Iterative clustering pruning for convolutional neural networks
    Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei · 2023 · Knowledge-Based Systems
84. On-device Training: A First Overview on Existing Systems
    Shuai Zhu, Thiemo Voigt, Fatemeh Rahimian, JeongGil Ko · 2024 · ACM Transactions on Sensor Networks
85. Enabling Deep Learning on IoT Edge: Approaches and Evaluation
    Xuan Qi, Chen Liu · 2018 · IEEE/ACM Symposium on Edge Computing (SEC)
86. PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning
    Dor Livne, Kobi Cohen · 2020 · IEEE Journal of Selected Topics in Signal Processing
87. Localization-aware channel pruning for object detection
    Zihao Xie, Li Zhu, Lin Fan Zhao, Bo Tao, Liman Liu, Wenbing Tao · 2020 · Neurocomputing
88. GAN-Knowledge Distillation for One-Stage Object Detection
    Wanwei Wang, Wei Hong, Feng Wang, Jinke Yu · 2020 · IEEE Access
89. Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices
    Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng · 2020 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
90. Auto Graph Encoder-Decoder for Neural Network Pruning
    Sixing Yu, Arya Mazaheri, Ali Jannesari · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
91. The Efficiency Misnomer
    Mostafa Dehghani, Anurag Arnab, Lucas Beyer, Ashish Vaswani, Yi Tay · 2021 · arXiv (Cornell University)
92. Geryon
    Kaikai Deng, Dong Yang Zhao, Qiaoyue Han, Shuyue Wang, Zihan Zhang, Anfu Zhou, Huadóng Ma · 2022 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
93. Refined lithology identification: Methodology, challenges and prospects
    Heng Shi, Zhenhao Xu, Peng Lin, Wen Ma · 2023 · Geoenergy Science and Engineering
94. AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing
    Lvfang Tao, Wei Gao, Ge Li, Chenhao Zhang · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
95. CNN based spectral super-resolution of remote sensing images
    Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok K. Porwal, Jocelyn Chanussot · 2019 · Signal Processing
96. Network Pruning for Remote Sensing Images Classification Based on Interpretable CNNs
    Xianpeng Guo, Biao Hou, Bo Ren, Zhongle Ren, Licheng Jiao · 2021 · IEEE Transactions on Geoscience and Remote Sensing
97. DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch
    Xiaofeng Ruan, Yufan Liu, Bing Li, Chunfeng Yuan, Weiming Hu · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
98. Effective Sparsification of Neural Networks with Global Sparsity Constraint
    Xiao Yu Zhou, Weizhong Zhang, Hang Xu, Tong Zhang · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
99. Tiny Machine Learning for Concept Drift
    Simone Disabato, Manuel Roveri · 2022 · IEEE Transactions on Neural Networks and Learning Systems
100. AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference
     Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu · 2021 · ACM/IEEE Design Automation Conference (DAC)