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Group Fisher Pruning for Practical Network Compression

Group Fisher Pruning for Practical Network Compression

2 August 2021
Liyang Liu
Shilong Zhang
Zhanghui Kuang
Aojun Zhou
Jingliang Xue
Xinjiang Wang
Yimin Chen
Wenming Yang
Q. Liao
Wayne Zhang
ArXiv (abs)PDFHTML

Papers citing "Group Fisher Pruning for Practical Network Compression"

50 / 95 papers shown
ModHiFi: Identifying High Fidelity predictive components for Model Modification
ModHiFi: Identifying High Fidelity predictive components for Model Modification
Dhruva Kashyap
Chaitanya Murti
Pranav K Nayak
Tanay Narshana
Chiranjib Bhattacharyya
168
1
0
24 Nov 2025
StableMorph: High-Quality Face Morph Generation with Stable Diffusion
StableMorph: High-Quality Face Morph Generation with Stable Diffusion
Wassim Kabbani
Kiran Raja
Raghavendra Ramachandra
C. Busch
109
0
0
11 Nov 2025
Vanishing Contributions: A Unified Approach to Smoothly Transition Neural Models into Compressed Form
Vanishing Contributions: A Unified Approach to Smoothly Transition Neural Models into Compressed Form
Lorenzo Nikiforos
Charalampos Antoniadis
Luciano Prono
F. Pareschi
R. Rovatti
Gianluca Setti
140
0
0
09 Oct 2025
Visual Detector Compression via Location-Aware Discriminant Analysis
Visual Detector Compression via Location-Aware Discriminant Analysis
Qizhen Lan
Jung Im Choi
Qing Tian
116
2
0
22 Sep 2025
Deep Lookup Network
Deep Lookup NetworkIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Yulan Guo
Longguang Wang
Wendong Mao
Xiaoyu Dong
Yingqian Wang
Li Liu
W. An
126
1
0
17 Sep 2025
Spatio-Temporal Pruning for Compressed Spiking Large Language Models
Spatio-Temporal Pruning for Compressed Spiking Large Language Models
Yi Jiang
Malyaban Bal
Brian Matejek
Susmit Jha
Adam D. Cobb
Abhronil Sengupta
119
0
0
23 Aug 2025
CommonKV: Compressing KV Cache with Cross-layer Parameter Sharing
CommonKV: Compressing KV Cache with Cross-layer Parameter Sharing
Yixuan Wang
Haoyu Qiao
Lujun Li
Qingfu Zhu
Wanxiang Che
MQ
149
1
0
22 Aug 2025
One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression
One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression
Mikołaj Janusz
Tomasz Wojnar
Yawei Li
Luca Benini
Kamil Adamczewski
VLM
152
2
0
19 Aug 2025
Optimal Brain Connection: Towards Efficient Structural Pruning
Optimal Brain Connection: Towards Efficient Structural Pruning
Shaowu Chen
Wei Ma
Binhua Huang
Qingyuan Wang
Guoxin Wang
Weize Sun
Lei Huang
Deepu John
146
1
0
07 Aug 2025
Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study
Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study
Yiran Huang
Lukas Thede
Goran Frehse
Wenjia Xu
Zeynep Akata
217
0
0
28 Jul 2025
IPPRO: Importance-based Pruning with PRojective Offset for Magnitude-indifferent Structural Pruning
IPPRO: Importance-based Pruning with PRojective Offset for Magnitude-indifferent Structural Pruning
Jaeheun Jung
Jaehyuk Lee
Yeajin Lee
Donghun Lee
204
0
0
10 Jul 2025
Olica: Efficient Structured Pruning of Large Language Models without Retraining
Jiujun He
Huazhen Lin
194
2
0
10 Jun 2025
CUT: Pruning Pre-Trained Multi-Task Models into Compact Models for Edge Devices
CUT: Pruning Pre-Trained Multi-Task Models into Compact Models for Edge DevicesInternational Conference on Intelligent Computing (ICIC), 2025
Jingxuan Zhou
Weidong Bao
Ji Wang
Zhengyi Zhong
228
0
0
14 Apr 2025
Thanos: A Block-wise Pruning Algorithm for Efficient Large Language Model Compression
Thanos: A Block-wise Pruning Algorithm for Efficient Large Language Model Compression
Ivan Ilin
Peter Richtárik
184
5
0
06 Apr 2025
An Efficient Training Algorithm for Models with Block-wise Sparsity
An Efficient Training Algorithm for Models with Block-wise Sparsity
Ding Zhu
Zhiqun Zuo
Mohammad Mahdi Khalili
251
0
0
27 Mar 2025
Maximum Redundancy Pruning: A Principle-Driven Layerwise Sparsity Allocation for LLMs
Maximum Redundancy Pruning: A Principle-Driven Layerwise Sparsity Allocation for LLMs
Chang Gao
Kang Zhao
Runqi Wang
Jianfei Chen
Liping Jing
300
1
0
24 Mar 2025
Towards Extreme Pruning of LLMs with Plug-and-Play Mixed Sparsity
Chi Xu
Gefei Zhang
Yantong Zhu
Luca Benini
Guosheng Hu
Yawei Li
Zhihong Zhang
193
1
0
14 Mar 2025
Privacy and Accuracy-Aware AI/ML Model Deduplication
Hong Guan
Lei Yu
Lixi Zhou
Li Xiong
Kanchan Chowdhury
Lulu Xie
Xusheng Xiao
Jia Zou
237
1
0
04 Mar 2025
Optimal Brain Apoptosis
Optimal Brain ApoptosisInternational Conference on Learning Representations (ICLR), 2025
Mingyuan Sun
Zheng Fang
Jiaxu Wang
Junjie Jiang
Delei Kong
Chenming Hu
Yuetong Fang
Zhanchen Zhu
AAML
392
3
0
25 Feb 2025
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs
Minxuan Lv
Zhenpeng Su
Leiyu Pan
Yizhe Xiong
Zijia Lin
...
Guiguang Ding
Cheng Luo
Di Zhang
Kun Gai
Songlin Hu
MoE
414
1
0
18 Feb 2025
An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning
An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning
Cen-Jhih Li
Aditya Bhaskara
444
0
0
17 Feb 2025
What Scalable Second-Order Information Knows for Pruning at Initialization
What Scalable Second-Order Information Knows for Pruning at Initialization
Ivo Gollini Navarrete
Nicolas Mauricio Cuadrado
Jose Renato Restom
Martin Takáč
257
0
0
17 Feb 2025
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning
Lixian Jing
Haobing Liu
Junyu Dong
Yanwei Yu
3DPCAI4CE
310
1
0
24 Dec 2024
TT-MPD: Test Time Model Pruning and Distillation
TT-MPD: Test Time Model Pruning and Distillation
Haihang Wu
Wei Wang
T. Malepathirana
Sachith Seneviratne
D. Oetomo
Saman K. Halgamuge
324
0
0
10 Dec 2024
Centerness-based Instance-aware Knowledge Distillation with Task-wise
  Mutual Lifting for Object Detection on Drone Imagery
Centerness-based Instance-aware Knowledge Distillation with Task-wise Mutual Lifting for Object Detection on Drone Imagery
Bowei Du
Zhixuan Liao
Yanan Zhang
Zhi Cai
Jiaxin Chen
Di Huang
318
2
0
05 Nov 2024
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
DiP-GO: A Diffusion Pruner via Few-step Gradient OptimizationNeural Information Processing Systems (NeurIPS), 2024
Haowei Zhu
Dehua Tang
Ji Liu
Mingjie Lu
Jintu Zheng
...
Spandan Tiwari
Ashish Sirasao
Jun-Hai Yong
Bin Wang
E. Barsoum
DiffM
190
27
0
22 Oct 2024
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models
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
240
35
0
14 Oct 2024
Non-transferable Pruning
Non-transferable PruningEuropean Conference on Computer Vision (ECCV), 2024
Ruyi Ding
Lili Su
A. A. Ding
Yunsi Fei
AAML
208
4
0
10 Oct 2024
NASH: Neural Architecture and Accelerator Search for
  Multiplication-Reduced Hybrid Models
NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid ModelsIEEE Transactions on Circuits and Systems Part 1: Regular Papers (TCAS-I), 2024
Yang Xu
Huihong Shi
Zhongfeng Wang
263
1
0
07 Sep 2024
A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs
A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs
Kiran Purohit
Anurag Parvathgari
Sourangshu Bhattacharya
VLM
246
1
0
22 Aug 2024
An Effective Information Theoretic Framework for Channel Pruning
An Effective Information Theoretic Framework for Channel Pruning
Yihao Chen
Zefang Wang
270
12
0
14 Aug 2024
Comb, Prune, Distill: Towards Unified Pruning for Vision Model
  Compression
Comb, Prune, Distill: Towards Unified Pruning for Vision Model Compression
Jonas Schmitt
Ruiping Liu
Junwei Zheng
Kailai Li
Rainer Stiefelhagen
VLM
310
0
0
06 Aug 2024
Palu: Compressing KV-Cache with Low-Rank Projection
Palu: Compressing KV-Cache with Low-Rank Projection
Chi-Chih Chang
Wei-Cheng Lin
Chien-Yu Lin
Chong-Yan Chen
Yu-Fang Hu
Pei-Shuo Wang
N. Huang
Luis Ceze
Kai-Chiang Wu
236
8
0
30 Jul 2024
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Ruizi Han
Jinglei Tang
329
3
0
19 Jul 2024
MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models
MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models
Hongrong Cheng
Miao Zhang
J. Q. Shi
305
7
0
16 Jul 2024
Isomorphic Pruning for Vision Models
Isomorphic Pruning for Vision Models
Gongfan Fang
Xinyin Ma
Michael Bi Mi
Xinchao Wang
VLMViT
269
25
0
05 Jul 2024
Achieving Sparse Activation in Small Language Models
Achieving Sparse Activation in Small Language Models
Jifeng Song
Kai Huang
Xiangyu Yin
Boyuan Yang
Wei Gao
210
5
0
03 Jun 2024
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse
  Mixture-of-Experts
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts
Mohammed Nowaz Rabbani Chowdhury
Meng Wang
Kaoutar El Maghraoui
Naigang Wang
Pin-Yu Chen
Christopher Carothers
MoE
437
10
0
26 May 2024
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via
  Selective Tensor Freezing
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing
Kai Huang
Wei Gao
233
3
0
24 May 2024
Train Faster, Perform Better: Modular Adaptive Training in
  Over-Parameterized Models
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
Yubin Shi
Yixuan Chen
Mingzhi Dong
Xiaochen Yang
Dongsheng Li
...
Yingying Zhao
Fan Yang
Tun Lu
Ning Gu
L. Shang
MoMe
227
5
0
13 May 2024
Differentiable Model Scaling using Differentiable Topk
Differentiable Model Scaling using Differentiable Topk
Kai Liu
Ruohui Wang
Jianfei Gao
Kai Chen
MedImVLM
286
4
0
12 May 2024
ONNXPruner: ONNX-Based General Model Pruning Adapter
ONNXPruner: ONNX-Based General Model Pruning AdapterIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Dongdong Ren
Wenbin Li
Tianyu Ding
Lei Wang
Qi Fan
Jing Huo
Hongbing Pan
Yang Gao
321
5
0
10 Apr 2024
Lightweight Deep Learning for Resource-Constrained Environments: A
  Survey
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu
Marco Galindo
Hongxia Xie
Lai-Kuan Wong
Hong-Han Shuai
Yung-Hui Li
Wen-Huang Cheng
376
179
0
08 Apr 2024
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in
  Neural Machine Translation
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation
Junhong Wu
Yuchen Liu
Chengqing Zong
CLL
257
5
0
07 Apr 2024
Multilingual Brain Surgeon: Large Language Models Can be Compressed Leaving No Language Behind
Multilingual Brain Surgeon: Large Language Models Can be Compressed Leaving No Language Behind
Hongchuan Zeng
Hongshen Xu
Lu Chen
Kai Yu
337
11
0
06 Apr 2024
Rethinking Pruning for Vision-Language Models: Strategies for Effective
  Sparsity and Performance Restoration
Rethinking Pruning for Vision-Language Models: Strategies for Effective Sparsity and Performance Restoration
Shwai He
Ang Li
Tianlong Chen
VLM
293
3
0
03 Apr 2024
Fisher Mask Nodes for Language Model Merging
Fisher Mask Nodes for Language Model MergingInternational Conference on Language Resources and Evaluation (LREC), 2024
Thennal D K
Ganesh Nathan
Suchithra M S
MoMeAI4CE
417
7
0
14 Mar 2024
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons
Simon Dufort-Labbé
P. DÓro
Evgenii Nikishin
Razvan Pascanu
Pierre-Luc Bacon
A. Baratin
405
4
0
12 Mar 2024
Structurally Prune Anything: Any Architecture, Any Framework, Any Time
Structurally Prune Anything: Any Architecture, Any Framework, Any Time
Xun Wang
John Rachwan
Stephan Günnemann
Bertrand Charpentier
198
8
0
03 Mar 2024
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with
  Combinatorial Optimization
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
Xiang Meng
Shibal Ibrahim
Kayhan Behdin
Hussein Hazimeh
Natalia Ponomareva
Rahul Mazumder
VLM
356
13
0
02 Mar 2024
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