AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference

23 May 2018

Papers citing "AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference"

35 / 35 papers shown

Title
EfficientLLaVA:Generalizable Auto-Pruning for Large Vision-language Models Yinan Liang Zehua Wang Xiuwei Xu Jie Zhou Jiwen Lu VLM LRM 51 0 0 19 Mar 2025
Improving DNN Modularization via Activation-Driven Training Tuan Ngo Abid Hassan Saad Shafiq Nenad Medvidovic MoMe 32 0 0 01 Nov 2024
Filter Pruning For CNN With Enhanced Linear Representation Redundancy Bojue Wang Chun-Xia Ma Bin Liu Nianbo Liu Jinqi Zhu 33 1 0 10 Oct 2023
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training Dario Lazzaro Antonio Emanuele Cinà Maura Pintor Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo 29 7 0 01 Jul 2023
Group channel pruning and spatial attention distilling for object detection Yun Chu Pu Li Yong Bai Zhuhua Hu Yongqing Chen Jiafeng Lu VLM 24 13 0 02 Jun 2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs Hancheng Ye Bo-Wen Zhang Tao Chen Jiayuan Fan Bin Wang 32 18 0 21 Mar 2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! Shiwei Liu Tianlong Chen Zhenyu (Allen) Zhang Xuxi Chen Tianjin Huang Ajay Jaiswal Zhangyang Wang 32 29 0 03 Mar 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning Athul Shibu Abhishek Kumar Heechul Jung Dong-Gyu Lee 17 1 0 26 Jan 2023
Pruning by Active Attention Manipulation Z. Babaiee Lucas Liebenwein Ramin Hasani Daniela Rus Radu Grosu 22 0 0 20 Oct 2022
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning Juan Miguel Valverde Artem Shatillo Jussi Tohka AAML 29 5 0 27 Sep 2022
Spartan: Differentiable Sparsity via Regularized Transportation Kai Sheng Tai Taipeng Tian Ser-Nam Lim 31 11 0 27 May 2022
Revisiting Random Channel Pruning for Neural Network Compression Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 26 81 0 11 May 2022
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters Mingbao Lin Liujuan Cao Yuxin Zhang Ling Shao Chia-Wen Lin Rongrong Ji 35 51 0 15 Feb 2022
Accelerating DNN Training with Structured Data Gradient Pruning Bradley McDanel Helia Dinh J. Magallanes 17 7 0 01 Feb 2022
Auto-Compressing Subset Pruning for Semantic Image Segmentation Konstantin Ditschuneit Johannes Otterbach 21 5 0 26 Jan 2022
Pruning-aware Sparse Regularization for Network Pruning Nanfei Jiang Xu Zhao Chaoyang Zhao Yongqi An Ming Tang Jinqiao Wang 3DPC 24 12 0 18 Jan 2022
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning Mengnan Shi Chang-rui Liu Jianbin Jiao QiXiang Ye 32 1 0 29 Nov 2021
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy Thibault Castells Seul-Ki Yeom 3DV 18 3 0 18 Nov 2021
RGP: Neural Network Pruning through Its Regular Graph Structure Zhuangzhi Chen Jingyang Xiang Yao Lu Qi Xuan Xiaoniu Yang 27 1 0 28 Oct 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 33 129 0 26 Oct 2021
End-to-End Supermask Pruning: Learning to Prune Image Captioning Models J. Tan C. Chan Joon Huang Chuah VLM 51 16 0 07 Oct 2021
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance Xiangcheng Liu Jian Cao Hongyi Yao Wenyu Sun Yuan Zhang 40 2 0 14 Sep 2021
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion Mingbao Lin Bohong Chen Rongrong Ji Rongrong Ji VLM 33 23 0 14 Jul 2021
Carrying out CNN Channel Pruning in a White Box Yuxin Zhang Mingbao Lin Chia-Wen Lin Jie Chen Feiyue Huang Yongjian Wu Yonghong Tian Rongrong Ji VLM 39 58 0 24 Apr 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning Seul-Ki Yeom Kyung-Hwan Shim Jee-Hyun Hwang CVBM 28 12 0 19 Mar 2021
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices Md Mohaimenuzzaman Christoph Bergmeir I. West B. Meyer 17 41 0 05 Mar 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy Lucas Liebenwein Cenk Baykal Brandon Carter David K Gifford Daniela Rus AAML 40 71 0 04 Mar 2021
AACP: Model Compression by Accurate and Automatic Channel Pruning Lanbo Lin Yujiu Yang Zhenhua Guo MQ 22 12 0 31 Jan 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 675 0 24 Jan 2021
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 50 166 0 21 Oct 2020
Feature Statistics Guided Efficient Filter Pruning Hang Li Chen Ma Wenyuan Xu Xue Liu 20 34 0 21 May 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
Neural Network Pruning with Residual-Connections and Limited-Data Jian-Hao Luo Jianxin Wu 19 112 0 19 Nov 2019
Structured Pruning for Efficient ConvNets via Incremental Regularization Huan Wang Qiming Zhang Yuehai Wang Haoji Hu 3DPC 40 45 0 20 Nov 2018
Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks Soojeong Kim Gyeong-In Yu Hojin Park Sungwoo Cho Eunji Jeong Hyeonmin Ha Sanha Lee Joo Seong Jeong Byung-Gon Chun 23 73 0 08 Aug 2018