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1507.06149
Cited By
Data-free parameter pruning for Deep Neural Networks
British Machine Vision Conference (BMVC), 2015
22 July 2015
Suraj Srinivas
R. Venkatesh Babu
3DPC
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Papers citing
"Data-free parameter pruning for Deep Neural Networks"
50 / 239 papers shown
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
Alper Kalle
Theo Rudkiewicz
M. Ouerfelli
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0
06 Nov 2025
Kernelized Sparse Fine-Tuning with Bi-level Parameter Competition for Vision Models
Shufan Shen
Junshu Sun
Shuhui Wang
Qingming Huang
147
0
0
28 Oct 2025
TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination
Omar Naim
Krish Sharma
Nicholas M. Asher
Nicholas Asher
93
0
0
26 Oct 2025
Collaborative Compression for Large-Scale MoE Deployment on Edge
Yixiao Chen
Yanyue Xie
Ruining Yang
Wei Jiang
Wei Wang
Yong He
Yue Chen
Pu Zhao
Y. Wang
MQ
94
0
0
30 Sep 2025
Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
Jianhong Wang
Yang Li
Samuel Kaski
Jonathan Lawry
228
10
0
12 Jun 2025
Systematic Weight Evaluation for Pruning Large Language Models: Enhancing Performance and Sustainability
Ashhadul Islam
S. Belhaouari
Amine Bermak
241
0
0
24 Feb 2025
Training-Free Restoration of Pruned Neural Networks
Keonho Lee
Minsoo Kim
Dong-Wan Choi
336
2
0
06 Feb 2025
Elucidating the Design Space of Dataset Condensation
Neural Information Processing Systems (NeurIPS), 2024
Shitong Shao
Zikai Zhou
Huanran Chen
Zhiqiang Shen
DD
755
24
0
20 Jan 2025
PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
IEEE Access (IEEE Access), 2025
Assaf Lahiany
Yehudit Aperstein
259
8
0
07 Jan 2025
Expanding Sparse Tuning for Low Memory Usage
Neural Information Processing Systems (NeurIPS), 2024
Shufan Shen
Junshu Sun
Xiangyang Ji
Qingming Huang
Shuhui Wang
330
9
0
04 Nov 2024
Mitigating Selection Bias with Node Pruning and Auxiliary Options
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Hyeong Kyu Choi
Weijie Xu
Chi Xue
Stephanie Eckman
Chandan K. Reddy
445
10
0
27 Sep 2024
Application Specific Compression of Deep Learning Models
Rohit Raj Rai
Angana Borah
Amit Awekar
182
0
0
09 Sep 2024
Activated Parameter Locating via Causal Intervention for Model Merging
Fanshuang Kong
Richong Zhang
Ziqiao Wang
MoMe
164
3
0
18 Aug 2024
Compressed models are NOT miniature versions of large models
Rohit Raj Rai
Rishant Pal
Amit Awekar
200
1
0
18 Jul 2024
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models
Yuyan Chen
Qiang Fu
Ge Fan
Lun Du
Jian-Guang Lou
Shi Han
Dongmei Zhang
Zhixu Li
Yanghua Xiao
MoE
207
22
0
04 Jul 2024
From Efficient Multimodal Models to World Models: A Survey
Xinji Mai
Zeng Tao
Junxiong Lin
Haoran Wang
Yang Chang
Yanlan Kang
Yan Wang
Wenqiang Zhang
317
14
0
27 Jun 2024
DataFreeShield: Defending Adversarial Attacks without Training Data
Hyeyoon Lee
Kanghyun Choi
Dain Kwon
Sunjong Park
Mayoore S. Jaiswal
Noseong Park
Jonghyun Choi
Jinho Lee
268
1
0
21 Jun 2024
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models
Peijie Dong
Lujun Li
Zhenheng Tang
Xiang Liu
Xinglin Pan
Qiang-qiang Wang
Xiaowen Chu
329
52
0
05 Jun 2024
STAT: Shrinking Transformers After Training
Megan Flynn
Alexander Wang
Dean Edward Alvarez
Christopher De Sa
Anil Damle
311
4
0
29 May 2024
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2024
Hongjie Wang
Difan Liu
Yan Kang
Yijun Li
Zhe Lin
N. Jha
Yuchen Liu
238
29
0
08 May 2024
PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks
Mark Huasong Meng
Hao Guan
Liuhuo Wan
Sin Gee Teo
Guangdong Bai
Jin Song Dong
MU
153
0
0
30 Apr 2024
The Unreasonable Ineffectiveness of the Deeper Layers
Andrey Gromov
Kushal Tirumala
Hassan Shapourian
Paolo Glorioso
Daniel A. Roberts
443
158
0
26 Mar 2024
Hierarchical Skip Decoding for Efficient Autoregressive Text Generation
Yunqi Zhu
Xuebing Yang
Yuanyuan Wu
Wensheng Zhang
318
5
0
22 Mar 2024
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
Ningyi Liao
Zihao Yu
Ruixiao Zeng
Siqiang Luo
GNN
209
0
0
20 Mar 2024
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction
Siqi Li
Jun Chen
Jingyang Xiang
Chengrui Zhu
Yong-Jin Liu
225
2
0
13 Mar 2024
Structurally Prune Anything: Any Architecture, Any Framework, Any Time
Xun Wang
John Rachwan
Stephan Günnemann
Bertrand Charpentier
195
8
0
03 Mar 2024
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
M. Lê
Pierre Wolinski
Julyan Arbel
282
17
0
20 Nov 2023
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
International Conference on Learning Representations (ICLR), 2023
Yiting Chen
Zhanpeng Zhou
Junchi Yan
307
10
0
10 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
IEEE Communications Surveys and Tutorials (COMST), 2023
Sicong Liu
Bin Guo
Cheng Fang
Ziqi Wang
Shiyan Luo
Zimu Zhou
Zhiwen Yu
AI4CE
292
37
0
27 Sep 2023
Causal-DFQ: Causality Guided Data-free Network Quantization
IEEE International Conference on Computer Vision (ICCV), 2023
Yuzhang Shang
Bingxin Xu
Gaowen Liu
Ramana Rao Kompella
Yan Yan
MQ
CML
331
8
0
24 Sep 2023
ResBuilder: Automated Learning of Depth with Residual Structures
International Conference on Artificial Neural Networks (ICANN), 2023
Julian Burghoff
Matthias Rottmann
Jill von Conta
S. Schoenen
A. Witte
Hanno Gottschalk
113
0
0
16 Aug 2023
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning
IEEE International Conference on Computer Vision (ICCV), 2023
Shipeng Bai
Jun Chen
Xintian Shen
Yixuan Qian
Yong Liu
MQ
241
22
0
14 Aug 2023
D-Score: A Synapse-Inspired Approach for Filter Pruning
Doyoung Park
Jinsoo Kim
Ji-Min Nam
Jooyoung Chang
S. Park
118
0
0
08 Aug 2023
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
International Conference on Learning Representations (ICLR), 2023
Seungcheol Park
Ho-Jin Choi
U. Kang
VLM
240
12
0
07 Aug 2023
Digital Modeling on Large Kernel Metamaterial Neural Network
Journal of Imaging Science and Technology (JIST), 2023
Quan Liu
Hanyu Zheng
Brandon T. Swartz
Ho Hin Lee
Zuhayr Asad
I. Kravchenko
Jason G Valentine
Yuankai Huo
185
6
0
21 Jul 2023
Accelerating Distributed ML Training via Selective Synchronization
IEEE International Conference on Cluster Computing (CLUSTER), 2023
S. Tyagi
Martin Swany
FedML
314
7
0
16 Jul 2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Pattern Recognition (Pattern Recogn.), 2023
Jun Chen
Shipeng Bai
Tianxin Huang
Mengmeng Wang
Guanzhong Tian
Y. Liu
MQ
319
24
0
02 Jul 2023
Resource Efficient Neural Networks Using Hessian Based Pruning
J. Chong
Manas Gupta
Lihui Chen
207
5
0
12 Jun 2023
Neural Network Reduction with Guided Regularizers
Ali Haisam Muhammad Rafid
Adrian Sandu
203
1
0
29 May 2023
Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis
Neural Information Processing Systems (NeurIPS), 2023
S. M. Patil
Loizos Michael
C. Dovrolis
235
0
0
28 May 2023
LLM-Pruner: On the Structural Pruning of Large Language Models
Neural Information Processing Systems (NeurIPS), 2023
Xinyin Ma
Gongfan Fang
Xinchao Wang
632
691
0
19 May 2023
Post-training Model Quantization Using GANs for Synthetic Data Generation
Athanasios Masouris
Mansi Sharma
Adrian Boguszewski
Alexander Kozlov
Zhuo Wu
Raymond Lo
MQ
176
0
0
10 May 2023
Expand-and-Cluster: Parameter Recovery of Neural Networks
International Conference on Machine Learning (ICML), 2023
Flavio Martinelli
Berfin Simsek
W. Gerstner
Johanni Brea
528
14
0
25 Apr 2023
Model Conversion via Differentially Private Data-Free Distillation
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Bochao Liu
Pengju Wang
Shikun Li
Dan Zeng
Shiming Ge
FedML
182
7
0
25 Apr 2023
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors
Computer Vision and Pattern Recognition (CVPR), 2023
Haley M. So
Laurie Bose
Piotr Dudek
Gordon Wetzstein
164
7
0
11 Apr 2023
Visual Saliency-Guided Channel Pruning for Deep Visual Detectors in Autonomous Driving
Jung Im Choi
Qingze Tian
217
11
0
04 Mar 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
Applied Soft Computing (Appl. Soft Comput.), 2023
Javier Poyatos
Daniel Molina
Aitor Martínez
Javier Del Ser
Francisco Herrera
268
15
0
20 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques
Applied Informatics (AI), 2023
Wenbin Li
Hakim Hacid
Ebtesam Almazrouei
Merouane Debbah
343
20
0
16 Feb 2023
Autoselection of the Ensemble of Convolutional Neural Networks with Second-Order Cone Programming
Social Science Research Network (SSRN), 2023
Buse Çisil Güldoğuş
Abdullah Nazhat Abdullah
Muhammad Ammar Ali
Süreyya Özögür-Akyüz
142
1
0
12 Feb 2023
What Matters In The Structured Pruning of Generative Language Models?
Michael Santacroce
Zixin Wen
Yelong Shen
Yuan-Fang Li
204
38
0
07 Feb 2023
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