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Discrimination-aware Network Pruning for Deep Model Compression

4 January 2020

Jing Liu

Bohan Zhuang

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Papers citing "Discrimination-aware Network Pruning for Deep Model Compression"

44 / 44 papers shown

Title
DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning Sikai Bai Haoxi Li Jie Zhang Zicong Hong Song Guo MoE 1 0 0 19 Sep 2025
FiGKD: Fine-Grained Knowledge Distillation via High-Frequency Detail Transfer Seonghak Kim 151 1 0 17 May 2025
Interpretable Recognition of Fused Magnesium Furnace Working Conditions with Deep Convolutional Stochastic Configuration Networks Li Weitao Zhang Xinru Wang Dianhui Tong Qianqian Chai Tianyou AI4CE 125 0 0 06 Jan 2025
Electrostatic Force Regularization for Neural Structured Pruning Abdesselam Ferdi A. Taleb-Ahmed A. Nakib Youcef Ferdi 194 1 0 17 Nov 2024
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts Zeliang Zhang Xiaodong Liu Hao Cheng Chenliang Xu Jianfeng Gao MoE 220 17 0 12 Jul 2024
VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool Yan Wang Yawen Zeng Jingsheng Zheng Xiaofen Xing Jin Xu Xiangmin Xu MLLM LRM VGen 116 27 0 07 Jul 2024
LaCoOT: Layer Collapse through Optimal Transport Victor Quétu Zhu Liao Nour Hezbri Fabio Pizzati Enzo Tartaglione 149 0 0 13 Jun 2024
Deep Network Pruning: A Comparative Study on CNNs in Face Recognition F. Alonso-Fernandez Kevin Hernandez Diaz Jose Maria Buades Rubio Prayag Tiwari J. Bigün CVBM 3DPC 113 1 0 28 May 2024
Reduced storage direct tensor ring decomposition for convolutional neural networks compression Mateusz Gabor R. Zdunek 143 0 0 17 May 2024
Diversity-aware Channel Pruning for StyleGAN Compression Jiwoo Chung Sangeek Hyun Sang-Heon Shim Jae-Pil Heo 132 5 0 20 Mar 2024
NetLLM: Adapting Large Language Models for Networking Duo Wu Xianda Wang Yaqi Qiao Zhi Wang Junchen Jiang Shuguang Cui Fangxin Wang 171 82 0 04 Feb 2024
Model Compression Techniques in Biometrics Applications: A Survey Eduarda Caldeira Pedro C. Neto Marco Huber Naser Damer Ana F. Sequeira 146 11 0 18 Jan 2024
Optimizing Convolutional Neural Network Architecture Luis Balderas Miguel Lastra José M. Benítez CVBM 139 10 0 17 Dec 2023
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function Seonghak Kim Gyeongdo Ham Suin Lee Donggon Jang Daeshik Kim 331 7 0 24 Nov 2023
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets Zhicheng Cai Xiaohan Ding Qiu Shen Xun Cao 110 22 0 16 Oct 2023
Dynamic Shuffle: An Efficient Channel Mixture Method Kaijun Gong Zhuowen Yin Yushu Li K. Guo Xiangmin Xu 119 0 0 04 Oct 2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs Hancheng Ye Bo Zhang Tao Chen Jiayuan Fan Bin Wang 96 0 0 21 Mar 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning Athul Shibu Abhishek Kumar Heechul Jung Dong-Gyu Lee 117 1 0 26 Jan 2023
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling Qinyi Deng Yong Guo Zhibang Yang Haolin Pan Jian Chen 159 11 0 13 Dec 2022
Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images Bing Xu Yong Guo Luo Jiang Mianjie Yu Jian Chen 119 16 0 19 Nov 2022
Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data Mane Margaryan Matthias Seibold Indu Joshi Mazda Farshad Philipp Fürnstahl Nassir Navab MedIm 111 2 0 05 Nov 2022
Entropy Induced Pruning Framework for Convolutional Neural Networks Yihe Lu Ziyu Guan Yaming Yang Maoguo Gong Ziyu Guan Kaiyuan Feng 120 4 0 13 Aug 2022
Towards Lightweight Super-Resolution with Dual Regression Learning Yong Guo Mingkui Tan Zeshuai Deng Jingdong Wang Qi Chen Jingyun Liang Yanwu Xu Jian Chen SupR 159 12 0 16 Jul 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly 120 10 0 08 Jul 2022
FlowNAS: Neural Architecture Search for Optical Flow Estimation Zhiwei Lin Tingting Liang Taihong Xiao Yongtao Wang Zhi Tang Ming-Hsuan Yang 91 1 0 04 Jul 2022
Revisiting Random Channel Pruning for Neural Network Compression Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 153 95 0 11 May 2022
Compact Neural Networks via Stacking Designed Basic Units Weichao Lan Yiu-ming Cheung Juyong Jiang 94 0 0 03 May 2022
Compact Model Training by Low-Rank Projection with Energy Transfer K. Guo Zhenquan Lin Xiaofen Xing Fang Liu Xiangmin Xu 133 4 0 12 Apr 2022
Practical Network Acceleration with Tiny Sets G. Wang Jianxin Wu 130 12 0 16 Feb 2022
Improving Robustness by Enhancing Weak Subnets Yong Guo David Stutz Bernt Schiele AAML 200 15 0 30 Jan 2022
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications Yongqiang Tian Wuqi Zhang Ming Wen Shing-Chi Cheung Chengnian Sun Shiqing Ma Yu Jiang 129 7 0 06 Dec 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 176 147 0 26 Oct 2021
Towards Efficient Post-training Quantization of Pre-trained Language Models Haoli Bai Lu Hou Lifeng Shang Xin Jiang Irwin King Michael R. Lyu MQ 169 48 0 30 Sep 2021
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly 143 21 0 30 Sep 2021
Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization Haotong Qin Yifu Ding Xiangguo Zhang Jiakai Wang Xianglong Liu Jiwen Lu DiffM MQ 103 73 0 01 Sep 2021
Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks Zhouyang Xie Yan Fu Sheng-Zhao Tian Junlin Zhou Duanbing Chen 3DV 76 0 0 31 Aug 2021
Rapid Elastic Architecture Search under Specialized Classes and Resource Constraints Jing Liu Bohan Zhuang Mingkui Tan Xu Liu Dinh Q. Phung Yuanqing Li Jianfei Cai 94 0 0 03 Aug 2021
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion Mingbao Lin Bohong Chen Yong Li Rongrong Ji VLM 124 25 0 14 Jul 2021
Content-Aware Convolutional Neural Networks Yong Guo Yaofo Chen Mingkui Tan Kui Jia Jian Chen Jingdong Wang 117 9 0 30 Jun 2021
Effective Model Compression via Stage-wise Pruning Mingyang Zhang Xinyi Yu Jingtao Rong L. Ou SyDa 72 1 0 10 Nov 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search Yong Guo Yaofo Chen Yin Zheng P. Zhao Jian Chen Junzhou Huang Mingkui Tan 94 72 0 07 Jul 2020
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution Yong Guo Jian Chen Jingdong Wang Qi Chen Jingyun Liang Zeshuai Deng Yanwu Xu Mingkui Tan SupR 144 293 0 16 Mar 2020
Hierarchical Neural Architecture Search for Single Image Super-Resolution Yong Guo Yongsheng Luo Zhenhao He Jin Huang Jian Chen SupR 182 52 0 10 Mar 2020
Taxonomy of Saliency Metrics for Channel Pruning Kaveena Persand Andrew Anderson David Gregg 78 8 0 11 Jun 2019