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Channel Pruning Guided by Classification Loss and Feature Importance

Channel Pruning Guided by Classification Loss and Feature Importance

AAAI Conference on Artificial Intelligence (AAAI), 2020
15 March 2020
Jinyang Guo
Wanli Ouyang
Dong Xu
ArXiv (abs)PDFHTML

Papers citing "Channel Pruning Guided by Classification Loss and Feature Importance"

20 / 20 papers shown
Learning Informative Attention Weights for Person Re-Identification
Learning Informative Attention Weights for Person Re-Identification
Yancheng Wang
Nebojsa Jojic
Yingzhen Yang
496
0
0
24 Dec 2025
SLMQuant:Benchmarking Small Language Model Quantization for Practical Deployment
SLMQuant:Benchmarking Small Language Model Quantization for Practical Deployment
Jiacheng Wang
Yejun Zeng
Jinyang Guo
Yuqing Ma
Aishan Liu
Xianglong Liu
MQ
378
1
0
17 Nov 2025
LLMC+: Benchmarking Vision-Language Model Compression with a Plug-and-play Toolkit
LLMC+: Benchmarking Vision-Language Model Compression with a Plug-and-play Toolkit
Chengtao Lv
Bilang Zhang
Yang Yong
Yazhe Niu
Yushi Huang
Shiqiao Gu
Jiajun Wu
Yumeng Shi
Jinyang Guo
Wenya Wang
MLLMVLM
225
3
0
13 Aug 2025
PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards
  Algorithms and Models
PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and ModelsACM Multimedia (MM), 2024
Zining Wnag
Jinpei Guo
Yazhe Niu
Yang Yong
Aishan Liu
Yushi Huang
Jiaheng Liu
Xianglong Liu
324
8
0
10 Dec 2024
LLMCBench: Benchmarking Large Language Model Compression for Efficient
  Deployment
LLMCBench: Benchmarking Large Language Model Compression for Efficient DeploymentNeural Information Processing Systems (NeurIPS), 2024
Ge Yang
Changyi He
Jinpei Guo
Jianyu Wu
Yifu Ding
Aishan Liu
Haotong Qin
Pengliang Ji
Xianglong Liu
MQ
325
12
0
28 Oct 2024
PTQ4SAM: Post-Training Quantization for Segment Anything
PTQ4SAM: Post-Training Quantization for Segment AnythingComputer Vision and Pattern Recognition (CVPR), 2024
Chengtao Lv
Hong Chen
Jinyang Guo
Yifu Ding
Xianglong Liu
VLMMQ
234
37
0
06 May 2024
EPSD: Early Pruning with Self-Distillation for Efficient Model
  Compression
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression
Dong Chen
Ning Liu
Yichen Zhu
Zhengping Che
Rui Ma
Fachao Zhang
Xiaofeng Mou
Yi Chang
Jian Tang
278
9
0
31 Jan 2024
RobustMQ: Benchmarking Robustness of Quantized Models
RobustMQ: Benchmarking Robustness of Quantized Models
Yisong Xiao
Aishan Liu
Tianyuan Zhang
Haotong Qin
Jinyang Guo
Xianglong Liu
MQ
307
26
0
04 Aug 2023
Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural
  Network Inference
Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference
Rafael Stahl
Daniel Mueller-Gritschneder
Ulf Schlichtmann
3DV
235
7
0
31 Mar 2023
BiBench: Benchmarking and Analyzing Network Binarization
BiBench: Benchmarking and Analyzing Network BinarizationInternational Conference on Machine Learning (ICML), 2023
Haotong Qin
Mingyuan Zhang
Yifu Ding
Aoyu Li
Zhongang Cai
Ziwei Liu
Feng Yu
Xianglong Liu
MQAAML
398
53
0
26 Jan 2023
Exploring the Effects of Channel Sparsity on Neural Network Pruning for
  Acoustic Scene Classification
Exploring the Effects of Channel Sparsity on Neural Network Pruning for Acoustic Scene Classification
Yiqian Cai
Shengchen Li
217
0
0
28 Oct 2022
Toward domain generalized pruning by scoring out-of-distribution
  importance
Toward domain generalized pruning by scoring out-of-distribution importance
Rizhao Cai
Haoliang Li
Alex C. Kot
204
2
0
25 Oct 2022
Unsupervised Learning of Accurate Siamese Tracking
Unsupervised Learning of Accurate Siamese TrackingComputer Vision and Pattern Recognition (CVPR), 2022
Qiuhong Shen
Leixian Qiao
Jinyang Guo
Peixia Li
Xin Li
Yue Liu
Weitao Feng
Weihao Gan
Wei Wu
Wanli Ouyang
200
61
0
04 Apr 2022
CHEX: CHannel EXploration for CNN Model Compression
CHEX: CHannel EXploration for CNN Model CompressionComputer Vision and Pattern Recognition (CVPR), 2022
Zejiang Hou
Minghai Qin
Fei Sun
Xiaolong Ma
Kun Yuan
Yi Xu
Yen-kuang Chen
Rong Jin
Yuan Xie
S. Kung
302
93
0
29 Mar 2022
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
Bohong Chen
Mingbao Lin
Rongrong Ji
Liujuan Cao
194
3
0
12 Sep 2021
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for
  Convolutional Neural Networks
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks
Jingfei Chang
Yang Lu
Ping Xue
Yiqun Xu
Zhen Wei
152
0
0
31 Aug 2021
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression
  using a Single Network
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network
Jinyang Guo
Dong Xu
Guo Lu
181
13
0
26 May 2021
Carrying out CNN Channel Pruning in a White Box
Carrying out CNN Channel Pruning in a White BoxIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Yuxin Zhang
Mingbao Lin
Chia-Wen Lin
Jie Chen
Feiyue Huang
Yongjian Wu
Yonghong Tian
Rongrong Ji
VLM
349
85
0
24 Apr 2021
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive
  Meta-Pruning
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning
M. Song
Jaehong Yoon
Eunho Yang
Sung Ju Hwang
163
1
0
22 Jun 2020
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks
Zejiang Hou
S. Kung
165
5
0
28 May 2020
1
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