Discrimination-aware Channel Pruning for Deep Neural Networks

28 October 2018

Zhuangwei Zhuang

Mingkui Tan

Bohan Zhuang

Jing Liu

Papers citing "Discrimination-aware Channel Pruning for Deep Neural Networks"

50 / 80 papers shown

Title
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks Giulia Fracastoro Sophie M. Fosson Andrea Migliorati G. Calafiore 40 1 0 19 Jan 2025
Pick-or-Mix: Dynamic Channel Sampling for ConvNets Ashish Kumar Daneul Kim Jaesik Park Laxmidhar Behera 36 1 0 16 Jun 2024
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models Yao Lu Yutao Zhu Yuqi Li Dongwei Xu Yun Lin Qi Xuan Xiaoniu Yang 28 5 0 12 Jun 2024
Training Acceleration of Low-Rank Decomposed Networks using Sequential Freezing and Rank Quantization Habib Hajimolahoseini Walid Ahmed Yang Liu OffRL MQ 19 6 0 07 Sep 2023
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks Jue Chen Huan Yuan Jianchao Tan Bin Chen Chengru Song Di Zhang 25 3 0 09 Aug 2023
Exploring Effective Mask Sampling Modeling for Neural Image Compression Lin Liu Mingming Zhao Shanxin Yuan Wenlong Lyu Wen-gang Zhou Houqiang Li Yanfeng Wang Qi Tian 11 3 0 09 Jun 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution Z. Su Jiehua Zhang Tianpeng Liu Zhen Liu Shuanghui Zhang M. Pietikäinen Li Liu 27 2 0 13 Apr 2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs Hancheng Ye Bo-Wen Zhang Tao Chen Jiayuan Fan Bin Wang 24 18 0 21 Mar 2023
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions Kaiqi Zhao Animesh Jain Ming Zhao 19 9 0 14 Mar 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning Athul Shibu Abhishek Kumar Heechul Jung Dong-Gyu Lee 9 1 0 26 Jan 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks Jinqi Xiao Chengming Zhang Yu Gong Miao Yin Yang Sui Lizhi Xiang Dingwen Tao Bo Yuan 16 19 0 20 Jan 2023
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer Miao Yin Burak Uzkent Yilin Shen Hongxia Jin Bo Yuan ViT 24 13 0 13 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning Huan Wang Can Qin Yue Bai Yun Fu 32 20 0 12 Jan 2023
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling Qinyi Deng Yong Guo Zhibang Yang Haolin Pan Jian Chen 22 10 0 13 Dec 2022
Pruning by Active Attention Manipulation Z. Babaiee Lucas Liebenwein Ramin Hasani Daniela Rus Radu Grosu 17 0 0 20 Oct 2022
Survey: Exploiting Data Redundancy for Optimization of Deep Learning Jou-An Chen Wei Niu Bin Ren Yanzhi Wang Xipeng Shen 23 24 0 29 Aug 2022
Complexity-Driven CNN Compression for Resource-constrained Edge AI Muhammad Zawish Steven Davy L. Abraham 28 16 0 26 Aug 2022
Network Pruning via Feature Shift Minimization Y. Duan Yue Zhou Peng He Qiang Liu Shukai Duan Xiaofang Hu 18 4 0 06 Jul 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating E. Passov E. David N. Netanyahu AAML 34 0 0 30 May 2022
Revisiting Random Channel Pruning for Neural Network Compression Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 21 81 0 11 May 2022
Attention Mechanism with Energy-Friendly Operations Yu Wan Baosong Yang Dayiheng Liu Rong Xiao Derek F. Wong Haibo Zhang Boxing Chen Lidia S. Chao MU 99 1 0 28 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 28 11 0 06 Apr 2022
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi Suraj Srinivas Simon Lacoste-Julien 18 18 0 09 Mar 2022
Update Compression for Deep Neural Networks on the Edge Bo Chen A. Bakhshi Gustavo E. A. P. A. Batista Brian Ng Tat-Jun Chin 22 17 0 09 Mar 2022
Accelerating DNN Training with Structured Data Gradient Pruning Bradley McDanel Helia Dinh J. Magallanes 4 7 0 01 Feb 2022
Pruning-aware Sparse Regularization for Network Pruning Nanfei Jiang Xu Zhao Chaoyang Zhao Yongqi An Ming Tang Jinqiao Wang 3DPC 13 12 0 18 Jan 2022
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction Marcin Pietroñ Dominik Zurek 22 13 0 28 Dec 2021
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization Bo-Shiuan Chu Che-Rung Lee 18 11 0 07 Dec 2021
Batch Normalization Tells You Which Filter is Important Junghun Oh Heewon Kim Sungyong Baik Chee Hong Kyoung Mu Lee CVBM 21 8 0 02 Dec 2021
Improved Knowledge Distillation via Adversarial Collaboration Zhiqiang Liu Chengkai Huang Yanxia Liu 21 2 0 29 Nov 2021
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration Yifan Gong Geng Yuan Zheng Zhan Wei Niu Zhengang Li ... Sijia Liu Bin Ren Xue Lin Xulong Tang Yanzhi Wang 20 10 0 22 Nov 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 22 128 0 26 Oct 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations Roy Miles K. Mikolajczyk 24 0 0 25 Oct 2021
Class-Discriminative CNN Compression Yuchen Liu D. Wentzlaff S. Kung 26 1 0 21 Oct 2021
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
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
End-to-End Supermask Pruning: Learning to Prune Image Captioning Models J. Tan C. Chan Joon Huang Chuah VLM 49 16 0 07 Oct 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
Content-Aware Convolutional Neural Networks Yong Guo Yaofo Chen Mingkui Tan K. Jia Jian Chen Jingdong Wang 30 8 0 30 Jun 2021
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator Geng Yuan Payman Behnam Zhengang Li Ali Shafiee Sheng Lin ... Hang Liu Xuehai Qian M. N. Bojnordi Yanzhi Wang Caiwen Ding 19 68 0 16 Jun 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 36 58 0 24 Apr 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML Lennart Heim Andreas Biri Zhongnan Qu Lothar Thiele 38 30 0 21 Apr 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
AACP: Model Compression by Accurate and Automatic Channel Pruning Lanbo Lin Yujiu Yang Zhenhua Guo MQ 22 12 0 31 Jan 2021
FcaNet: Frequency Channel Attention Networks Zequn Qin Pengyi Zhang Fei Wu Xi Li 17 678 0 22 Dec 2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Runbin Shi Hayden Kwok-Hay So Xuehai Qian Yanzhi Wang Xue Lin MQ 18 82 0 08 Dec 2020
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 19 111 0 29 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 44 116 0 25 Nov 2020
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 41 166 0 21 Oct 2020
Kernel Based Progressive Distillation for Adder Neural Networks Yixing Xu Chang Xu Xinghao Chen Wei Zhang Chunjing Xu Yunhe Wang 33 47 0 28 Sep 2020