Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

22 March 2019

Liujuan Cao

Papers citing "Towards Optimal Structured CNN Pruning via Generative Adversarial Learning"

22 / 71 papers shown

Title
Cogradient Descent for Bilinear Optimization Lian Zhuo Baochang Zhang Linlin Yang Hanlin Chen QiXiang Ye David Doermann G. Guo Rongrong Ji 14 14 0 16 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 266 0 09 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update Zechun Liu Xinming Zhang Zhiqiang Shen Zhe Li Yichen Wei Kwang-Ting Cheng Jian Sun 47 19 0 18 May 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 43 15 0 18 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
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
Progressive Local Filter Pruning for Image Retrieval Acceleration Xiaodong Wang Zhedong Zheng Yang He Fei Yan Zhi-qiang Zeng Yi Yang 33 34 0 24 Jan 2020
Filter Sketch for Network Pruning Mingbao Lin Liujuan Cao Shaojie Li QiXiang Ye Yonghong Tian Jianzhuang Liu Q. Tian Rongrong Ji CLIP 3DPC 31 82 0 23 Jan 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices Xiaolong Ma Wei Niu Tianyun Zhang Sijia Liu Sheng Lin ... Xiang Chen Jian Tang Kaisheng Ma Bin Ren Yanzhi Wang 35 27 0 20 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression Jing Liu Bohan Zhuang Zhuangwei Zhuang Yong Guo Junzhou Huang Jin-Hui Zhu Mingkui Tan CVBM 19 119 0 04 Jan 2020
DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration Wenxiao Wang Shuai Zhao Minghao Chen Jinming Hu Deng Cai Haifeng Liu 16 35 0 21 Dec 2019
Neural Network Pruning with Residual-Connections and Limited-Data Jian-Hao Luo Jianxin Wu 22 112 0 19 Nov 2019
Structured Binary Neural Networks for Image Recognition Bohan Zhuang Chunhua Shen Mingkui Tan Peng Chen Lingqiao Liu Ian Reid MQ 22 17 0 22 Sep 2019
CARS: Continuous Evolution for Efficient Neural Architecture Search Zhaohui Yang Yunhe Wang Xinghao Chen Boxin Shi Chao Xu Chunjing Xu Qi Tian Chang Xu 15 223 0 11 Sep 2019
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 16 170 0 28 Apr 2019
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression Yuchao Li Shaohui Lin Baochang Zhang Jianzhuang Liu David Doermann Yongjian Wu Feiyue Huang Rongrong Ji 43 130 0 11 Dec 2018
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 27 152 0 22 Nov 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference Jian-Hao Luo Jianxin Wu 18 207 0 23 May 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,330 0 05 Nov 2016