Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

50 / 399 papers shown

Title
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices Tianli Zhao Xi Sheryl Zhang Wentao Zhu Jiaxing Wang Sen Yang Ji Liu Jian Cheng 43 2 0 15 Oct 2021
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen Peisong Wang Jian Cheng MQ 31 61 0 13 Oct 2021
Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values Zhenquan Lin K. Guo Xiaofen Xing Xiangmin Xu ODL 24 1 0 09 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 29 9 0 08 Oct 2021
Prune Your Model Before Distill It Jinhyuk Park Albert No VLM 38 27 0 30 Sep 2021
Neural network relief: a pruning algorithm based on neural activity Aleksandr Dekhovich David Tax M. Sluiter Miguel A. Bessa 40 10 0 22 Sep 2021
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance Xiangcheng Liu Jian Cao Hongyi Yao Wenyu Sun Yuan Zhang 38 2 0 14 Sep 2021
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices Chulhong Min Akhil Mathur Utku Günay Acer A. Montanari F. Kawsar 18 11 0 08 Sep 2021
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision Bo-wen Li Xinyang Jiang Donglin Bai Yuge Zhang Ningxin Zheng Xuanyi Dong Lu Liu Yuqing Yang Dongsheng Li 14 10 0 30 Aug 2021
Compact representations of convolutional neural networks via weight pruning and quantization Giosuè Cataldo Marinò A. Petrini D. Malchiodi Marco Frasca MQ 17 4 0 28 Aug 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
Greenformers: Improving Computation and Memory Efficiency in Transformer Models via Low-Rank Approximation Samuel Cahyawijaya 26 12 0 24 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
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks Erion-Vasilis M. Pikoulis C. Mavrokefalidis Aris S. Lalos 14 10 0 19 Jul 2021
Structural Watermarking to Deep Neural Networks via Network Channel Pruning Xiangyu Zhao Yinzhe Yao Hanzhou Wu Xinpeng Zhang AAML 11 23 0 19 Jul 2021
MAFAT: Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference J. Farley A. Gerstlauer FedML 13 5 0 14 Jul 2021
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion Mingbao Lin Bohong Chen Fei Chao Rongrong Ji VLM 19 23 0 14 Jul 2021
Data-Driven Low-Rank Neural Network Compression D. Papadimitriou Swayambhoo Jain BDL 17 3 0 13 Jul 2021
CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning Liping Wang Saideep Tiku S. Pasricha 14 32 0 02 Jul 2021
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training Chen Dun Cameron R. Wolfe C. Jermaine Anastasios Kyrillidis 16 21 0 02 Jul 2021
Content-Aware Convolutional Neural Networks Yong Guo Yaofo Chen Mingkui Tan K. Jia Jian Chen Jingdong Wang 27 8 0 30 Jun 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 11 16 0 24 Jun 2021
Knowledge Distillation via Instance-level Sequence Learning Haoran Zhao Xin Sun Junyu Dong Zihe Dong Qiong Li 26 23 0 21 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
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration Shiwei Liu Tianlong Chen Xiaohan Chen Zahra Atashgahi Lu Yin Huanyu Kou Li Shen Mykola Pechenizkiy Zhangyang Wang D. Mocanu 29 111 0 19 Jun 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 23 360 0 16 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 22 11 0 13 Jun 2021
1xN Pattern for Pruning Convolutional Neural Networks Mingbao Lin Yu-xin Zhang Yuchao Li Bohong Chen Fei Chao Mengdi Wang Shen Li Yonghong Tian Rongrong Ji 3DPC 23 40 0 31 May 2021
Denoising Noisy Neural Networks: A Bayesian Approach with Compensation Yulin Shao Soung Chang Liew Deniz Gunduz 51 14 0 22 May 2021
Content-adaptive Representation Learning for Fast Image Super-resolution Yukai Shi Jinghui Qin SupR 18 0 0 20 May 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 25 35 0 19 May 2021
Troubleshooting Blind Image Quality Models in the Wild Zhihua Wang Haotao Wang Tianlong Chen Zhangyang Wang Kede Ma 11 19 0 14 May 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods Jary Pomponi Simone Scardapane A. Uncini UQCV 41 7 0 06 May 2021
Effective Sparsification of Neural Networks with Global Sparsity Constraint Xiao Zhou Weizhong Zhang Hang Xu Tong Zhang 11 61 0 03 May 2021
3D Scene Compression through Entropy Penalized Neural Representation Functions Thomas Bird Johannes Ballé Saurabh Singh P. Chou 33 30 0 26 Apr 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 31 58 0 24 Apr 2021
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics S. Yun Alexander Wong MQ 19 25 0 24 Apr 2021
Unsupervised Information Obfuscation for Split Inference of Neural Networks Mohammad Samragh H. Hosseini Aleksei Triastcyn K. Azarian Joseph B. Soriaga F. Koushanfar 20 11 0 23 Apr 2021
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 28 12 0 21 Apr 2021
Distilling Knowledge via Knowledge Review Pengguang Chen Shu-Lin Liu Hengshuang Zhao Jiaya Jia 147 419 0 19 Apr 2021
Lottery Jackpots Exist in Pre-trained Models Yu-xin Zhang Mingbao Lin Yan Wang Fei Chao Rongrong Ji 30 15 0 18 Apr 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks Le Yang Haojun Jiang Ruojin Cai Yulin Wang Shiji Song Gao Huang Qi Tian DD 15 64 0 09 Apr 2021
Content-Aware GAN Compression Yuchen Liu Zhixin Shu Yijun Li Zhe-nan Lin Federico Perazzi S. Kung GAN 24 58 0 06 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 20 12 0 19 Mar 2021
Scalable Vision Transformers with Hierarchical Pooling Zizheng Pan Bohan Zhuang Jing Liu Haoyu He Jianfei Cai ViT 25 126 0 19 Mar 2021
Recent Advances on Neural Network Pruning at Initialization Huan Wang Can Qin Yue Bai Yulun Zhang Yun Fu CVBM 31 64 0 11 Mar 2021
Quantization-Guided Training for Compact TinyML Models Sedigh Ghamari Koray Ozcan Thu Dinh A. Melnikov Juan Carvajal Jan Ernst S. Chai MQ 14 16 0 10 Mar 2021
Knowledge Evolution in Neural Networks Ahmed Taha Abhinav Shrivastava L. Davis 39 21 0 09 Mar 2021