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CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization
v1v2 (latest)

CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
21 October 2021
Wenzheng Hu
Zhengping Che
Ning Liu
Mingyang Li
Jian Tang
Changshui Zhang
Jianqiang Wang
ArXiv (abs)PDFHTMLGithub

Papers citing "CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization"

4 / 4 papers shown
Training-Free Restoration of Pruned Neural Networks
Training-Free Restoration of Pruned Neural Networks
Keonho Lee
Minsoo Kim
Dong-Wan Choi
429
2
0
06 Feb 2025
Gap Preserving Distillation by Building Bidirectional Mappings with A
  Dynamic Teacher
Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic TeacherInternational Conference on Learning Representations (ICLR), 2024
Yong Guo
Shulian Zhang
Haolin Pan
Jing Liu
Yulun Zhang
Jian Chen
365
1
0
05 Oct 2024
An Effective Information Theoretic Framework for Channel Pruning
An Effective Information Theoretic Framework for Channel Pruning
Yihao Chen
Zefang Wang
350
12
0
14 Aug 2024
Lightweight Deep Learning for Resource-Constrained Environments: A
  Survey
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu
Marco Galindo
Hongxia Xie
Lai-Kuan Wong
Hong-Han Shuai
Yung-Hui Li
Wen-Huang Cheng
432
206
0
08 Apr 2024
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