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Topology-Aware Network Pruning using Multi-stage Graph Embedding and
  Reinforcement Learning
v1v2 (latest)

Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning

International Conference on Machine Learning (ICML), 2021
5 February 2021
Sixing Yu
Arya Mazaheri
Ali Jannesari
ArXiv (abs)PDFHTML

Papers citing "Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning"

28 / 28 papers shown
CAMP-HiVe: Cyclic Pair Merging based Efficient DNN Pruning with Hessian-Vector Approximation for Resource-Constrained Systems
CAMP-HiVe: Cyclic Pair Merging based Efficient DNN Pruning with Hessian-Vector Approximation for Resource-Constrained Systems
M. H. Uddin
Sai Krishna Ghanta
Liam Seymour
S. Baidya
246
0
0
09 Nov 2025
Resource-Aware Neural Network Pruning Using Graph-based Reinforcement Learning
Resource-Aware Neural Network Pruning Using Graph-based Reinforcement Learning
Dieter Balemans
Thomas Huybrechts
Jan Steckel
Siegfried Mercelis
164
0
0
04 Sep 2025
Pruning Everything, Everywhere, All at Once
Pruning Everything, Everywhere, All at Once
Gustavo Henrique do Nascimento
Ian Pons
A. H. R. Costa
Artur Jordao
277
1
0
04 Jun 2025
Meta Pruning via Graph Metanetworks : A Universal Meta Learning Framework for Network Pruning
Meta Pruning via Graph Metanetworks : A Universal Meta Learning Framework for Network Pruning
Yewei Liu
Xiyuan Wang
Muhan Zhang
DDGNN
411
0
0
24 May 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
338
2
0
24 Dec 2024
Layer Pruning with Consensus: A Triple-Win Solution
Layer Pruning with Consensus: A Triple-Win SolutionIEEE Access (IEEE Access), 2024
Leandro Giusti Mugnaini
Carolina Tavares Duarte
Anna Helena Reali Costa
Artur Jordao
317
1
0
21 Nov 2024
An Effective Information Theoretic Framework for Channel Pruning
An Effective Information Theoretic Framework for Channel Pruning
Yihao Chen
Zefang Wang
347
12
0
14 Aug 2024
Rethinking Pruning for Backdoor Mitigation: An Optimization Perspective
Rethinking Pruning for Backdoor Mitigation: An Optimization Perspective
Nan Li
Haiyang Yu
Ping Yi
AAML
185
1
0
28 May 2024
Effective Layer Pruning Through Similarity Metric Perspective
Effective Layer Pruning Through Similarity Metric Perspective
Ian Pons
Bruno Yamamoto
Anna Helena Reali Costa
Artur Jordao
326
5
0
27 May 2024
SNP: Structured Neuron-level Pruning to Preserve Attention Scores
SNP: Structured Neuron-level Pruning to Preserve Attention Scores
Kyunghwan Shim
Jaewoong Yun
Shinkook Choi
196
4
0
18 Apr 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and
  Alignment
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
Alireza Ganjdanesh
Shangqian Gao
Heng-Chiao Huang
405
19
0
28 Mar 2024
Auto-Train-Once: Controller Network Guided Automatic Network Pruning
  from Scratch
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
Xidong Wu
Shangqian Gao
Zeyu Zhang
Zhenzhen Li
Runxue Bao
Yanfu Zhang
Xiaoqian Wang
Heng-Chiao Huang
316
32
0
21 Mar 2024
AutoDFP: Automatic Data-Free Pruning via Channel Similarity
  Reconstruction
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction
Siqi Li
Jun Chen
Jingyang Xiang
Chengrui Zhu
Yong-Jin Liu
262
2
0
13 Mar 2024
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework
  on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous
  Modalities
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities
Runwei Guan
Haocheng Zhao
Shanliang Yao
Ka Lok Man
Xiaohui Zhu
...
Yong Yue
Jeremy S. Smith
Eng Gee Lim
Weiping Ding
Yutao Yue
265
8
0
14 Dec 2023
OCGEC: One-class Graph Embedding Classification for DNN Backdoor
  Detection
OCGEC: One-class Graph Embedding Classification for DNN Backdoor DetectionIEEE International Joint Conference on Neural Network (IJCNN), 2023
Haoyu Jiang
Haiyang Yu
Nan Li
Ping Yi
339
0
0
04 Dec 2023
Bridging the Gap Between Foundation Models and Heterogeneous Federated
  Learning
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning
Sixing Yu
J. P. Muñoz
Ali Jannesari
AI4CE
355
11
0
30 Sep 2023
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from
  Scratch
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch
P. Zhai
K. Guo
Fan Liu
Xiaofen Xing
Xiangmin Xu
323
3
0
25 Sep 2023
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning
Hugo Tessier
Ghouti Boukli Hacene
Vincent Gripon
233
1
0
22 Sep 2023
A Differentiable Framework for End-to-End Learning of Hybrid Structured
  Compression
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression
Moonjung Eo
Suhyun Kang
Wonjong Rhee
278
2
0
21 Sep 2023
Lossy and Lossless (L$^2$) Post-training Model Size Compression
Lossy and Lossless (L2^22) Post-training Model Size CompressionIEEE International Conference on Computer Vision (ICCV), 2023
Yumeng Shi
Shihao Bai
Xiuying Wei
Yazhe Niu
Jianlei Yang
309
5
0
08 Aug 2023
UPSCALE: Unconstrained Channel Pruning
UPSCALE: Unconstrained Channel PruningInternational Conference on Machine Learning (ICML), 2023
Alvin Wan
Hanxiang Hao
K. Patnaik
Yueyang Xu
Omer Hadad
David Guera
Zhile Ren
Qi Shan
210
7
0
17 Jul 2023
Structured Network Pruning by Measuring Filter-wise Interactions
Structured Network Pruning by Measuring Filter-wise Interactions
Wenting Tang
Xingxing Wei
Yue Liu
229
0
0
03 Jul 2023
Federated Foundation Models: Privacy-Preserving and Collaborative
  Learning for Large Models
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large ModelsInternational Conference on Language Resources and Evaluation (LREC), 2023
Sixing Yu
J. P. Muñoz
Ali Jannesari
AI4CE
351
71
0
19 May 2023
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural
  Network Pruning
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
Shangli Zhou
Mikhail A. Bragin
Lynn Pepin
Deniz Gurevin
Fei Miao
Caiwen Ding
190
3
0
08 Apr 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
Structured Pruning for Deep Convolutional Neural Networks: A surveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yang He
Lingao Xiao
3DPC
469
318
0
01 Mar 2023
Structured Bayesian Compression for Deep Neural Networks Based on The
  Turbo-VBI Approach
Structured Bayesian Compression for Deep Neural Networks Based on The Turbo-VBI ApproachIEEE Transactions on Signal Processing (IEEE TSP), 2023
Cheng-Gang Xia
Danny H. K. Tsang
Vincent K. N. Lau
BDL
213
8
0
21 Feb 2023
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and
  Multi-Model Fusion
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Duy Phuong Nguyen
Sixing Yu
J. P. Muñoz
Ali Jannesari
FedML
318
20
0
16 Aug 2022
SPATL: Salient Parameter Aggregation and Transfer Learning for
  Heterogeneous Clients in Federated Learning
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated LearningInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021
Sixing Yu
P. Nguyen
Waqwoya Abebe
Wei Qian
Ali Anwar
Ali Jannesari
FedML
356
27
0
29 Nov 2021
1
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