SR-init: An interpretable layer pruning method

SR-init: An interpretable layer pruning method

14 March 2023

Yao Lu

Papers citing "SR-init: An interpretable layer pruning method"

8 / 8 papers shown

Title
MDP: Multidimensional Vision Model Pruning with Latency Constraint Xinglong Sun Barath Lakshmanan Maying Shen Shiyi Lan Jingde Chen Jose M. Alvarez VLM 62 0 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 68 0 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 33 0 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 Jianping Gou 29 3 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 46 3 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 39 5 0 12 Jun 2024
Block Pruning for Enhanced Efficiency in Convolutional Neural Networks Cheng-En Wu A. Davoodi Yu Hen Hu 26 3 0 28 Dec 2023
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 301 39,238 0 01 Sep 2014