Filter Pruning for Efficient CNNs via Knowledge-driven Differential
Filter Sampler

Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler

1 July 2023

Jungong Han

Papers citing "Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler"

7 / 7 papers shown

Title
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,457 0 11 Nov 2021
Show, Attend and Distill:Knowledge Distillation via Attention-based Feature Matching Mingi Ji Byeongho Heo Sungrae Park 65 143 0 05 Feb 2021
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 50 167 0 21 Oct 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 137 189 0 19 Mar 2020
Channel Pruning via Automatic Structure Search Mingbao Lin Rongrong Ji Yuxin Zhang Baochang Zhang Yongjian Wu Yonghong Tian 76 241 0 23 Jan 2020
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 315 36,381 0 25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 298 39,217 0 01 Sep 2014