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2303.07677
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SR-init: An interpretable layer pruning method
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
14 March 2023
Hui Tang
Yao Lu
Qi Xuan
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Papers citing
"SR-init: An interpretable layer pruning method"
10 / 10 papers shown
A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture
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Zeping Chen
Xavier Wang
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Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers
Cheng Cheng
Zeping Chen
Rui Xie
Peiyao Zheng
Xavier Wang
AI4CE
166
0
0
01 Sep 2025
FCOS: A Two-Stage Recoverable Model Pruning Framework for Automatic Modulation Recognition
Yao Lu
Tengfei Ma
Zeyu Wang
Z. Chen
Dongwei Xu
Yun Lin
Qi Xuan
Guan Gui
191
5
0
27 May 2025
MDP: Multidimensional Vision Model Pruning with Latency Constraint
Computer Vision and Pattern Recognition (CVPR), 2025
Xinglong Sun
Barath Lakshmanan
Maying Shen
Shiyi Lan
Jingde Chen
Jose M. Alvarez
VLM
366
1
0
02 Apr 2025
Reassessing Layer Pruning in LLMs: New Insights and Methods
Yao Lu
Hao Cheng
Yujie Fang
Zeyu Wang
Jiaheng Wei
Dongwei Xu
Qi Xuan
Xiaoniu Yang
Zhaowei Zhu
331
16
0
23 Nov 2024
RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively
Yao Lu
Peixin Zhang
Jingyi Wang
Lei Ma
Xiaoniu Yang
Qi Xuan
237
7
0
15 Nov 2024
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models
Yuqi Li
Yao Lu
Zhihong Zhu
Chuanguang Yang
Yihao Chen
Xin Yin
Yihao Chen
Jianping Gou
Yingli Tian
T. Huang
230
33
0
14 Oct 2024
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint
Xinglong Sun
Barath Lakshmanan
Maying Shen
Shiyi Lan
Jingde Chen
Jose Alvarez
VLM
282
4
0
17 Jun 2024
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models
Yao Lu
Yutao Zhu
Yuqi Li
Dongwei Xu
Yun Lin
Qi Xuan
Xiaoniu Yang
196
26
0
12 Jun 2024
Block Pruning for Enhanced Efficiency in Convolutional Neural Networks
Cheng-En Wu
A. Davoodi
Yu Hen Hu
213
3
0
28 Dec 2023
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