"structured pruning" Papers
13 papers found
Conference
Elastic ViTs from Pretrained Models without Retraining
Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort et al.
NEURIPS 2025arXiv:2510.17700
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation
Fei Wang, Li Shen, Liang Ding et al.
NEURIPS 2025arXiv:2510.15304
2
citations
LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing
Ruisi Cai, Saurav Muralidharan, Hongxu Yin et al.
ICLR 2025
4
citations
ModHiFi: Identifying High Fidelity predictive components for Model Modification
Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak et al.
NEURIPS 2025spotlightarXiv:2511.19566
1
citations
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
Jun Liu, Zhenglun Kong, Pu Zhao et al.
AAAI 2025paperarXiv:2403.10799
14
citations
Variance-Based Pruning for Accelerating and Compressing Trained Networks
Uranik Berisha, Jens Mehnert, Alexandru Condurache
ICCV 2025arXiv:2507.12988
1
citations
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
Bowen Zhao, Hannaneh Hajishirzi, Qingqing Cao
ICML 2024arXiv:2401.12200
28
citations
Enhanced Sparsification via Stimulative Training
Shengji Tang, Weihao Lin, Hancheng Ye et al.
ECCV 2024arXiv:2403.06417
2
citations
Entropy Induced Pruning Framework for Convolutional Neural Networks
Yiheng Lu, Ziyu Guan, Yaming Yang et al.
AAAI 2024paperarXiv:2208.06660
6
citations
Fluctuation-Based Adaptive Structured Pruning for Large Language Models
Yongqi An, Xu Zhao, Tao Yu et al.
AAAI 2024paperarXiv:2312.11983
106
citations
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
Xiang Meng, Shibal Ibrahim, Kayhan Behdin et al.
ICML 2024arXiv:2403.12983
13
citations
SNP: Structured Neuron-level Pruning to Preserve Attention Scores
Kyunghwan Shim, Jaewoong Yun, Shinkook Choi
ECCV 2024arXiv:2404.11630
3
citations
Towards efficient deep spiking neural networks construction with spiking activity based pruning
Yaxin Li, Qi Xu, Jiangrong Shen et al.
ICML 2024arXiv:2406.01072
15
citations