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2011.12641
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Auto Graph Encoder-Decoder for Neural Network Pruning
IEEE International Conference on Computer Vision (ICCV), 2020
25 November 2020
Sixing Yu
Arya Mazaheri
Ali Jannesari
GNN
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Papers citing
"Auto Graph Encoder-Decoder for Neural Network Pruning"
17 / 17 papers shown
FastForward Pruning: Efficient LLM Pruning via Single-Step Reinforcement Learning
Xin Yuan
S. Li
Jiateng Wei
Chengrui Zhu
Yanming Wu
Qingpeng Li
Jiajun Lv
Xiaoke Lan
Jun Chen
Yong-Jin Liu
OffRL
469
0
0
24 Nov 2025
Breaking Expert Knowledge Limits: Self-Pruning for Large Language Models
Haidong Kang
Lihong Lin
Enneng Yang
Hongning Dai
Hao Wang
LRM
251
0
0
19 Nov 2025
Maximum Redundancy Pruning: A Principle-Driven Layerwise Sparsity Allocation for LLMs
Chang Gao
Kang Zhao
Runqi Wang
Jianfei Chen
Liping Jing
430
1
0
24 Mar 2025
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning
Lixian Jing
Haobing Liu
Junyu Dong
Yanwei Yu
3DPC
AI4CE
345
2
0
24 Dec 2024
Layer Pruning with Consensus: A Triple-Win Solution
IEEE Access (IEEE Access), 2024
Leandro Giusti Mugnaini
Carolina Tavares Duarte
Anna Helena Reali Costa
Artur Jordao
319
1
0
21 Nov 2024
Rethinking Pruning for Backdoor Mitigation: An Optimization Perspective
Nan Li
Haiyang Yu
Ping Yi
AAML
189
1
0
28 May 2024
AdaMEC: Towards a Context-Adaptive and Dynamically-Combinable DNN Deployment Framework for Mobile Edge Computing
Bowen Pang
Sicong Liu
Hongli Wang
Bin Guo
Yuzhan Wang
Hao Wang
Zhenli Sheng
Zhongyi Wang
Zhiwen Yu
257
7
0
25 Oct 2023
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
International Conference on Language Resources and Evaluation (LREC), 2023
Sixing Yu
J. P. Muñoz
Ali Jannesari
AI4CE
352
71
0
19 May 2023
Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment
AAAI Conference on Artificial Intelligence (AAAI), 2023
Jong-Ryul Lee
Yong-Hyuk Moon
243
0
0
03 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yang He
Lingao Xiao
3DPC
474
318
0
01 Mar 2023
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing
Waqwoya Abebe
Ali Jannesari
300
0
0
16 Dec 2022
Towards Sparsification of Graph Neural Networks
ICCD (ICCD), 2022
Hongwu Peng
Deniz Gurevin
Shaoyi Huang
Tong Geng
Weiwen Jiang
O. Khan
Caiwen Ding
GNN
338
31
0
11 Sep 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Duy Phuong Nguyen
Sixing Yu
J. P. Muñoz
Ali Jannesari
FedML
319
20
0
16 Aug 2022
Revisiting Random Channel Pruning for Neural Network Compression
Computer Vision and Pattern Recognition (CVPR), 2022
Yawei Li
Kamil Adamczewski
Wen Li
Shuhang Gu
Radu Timofte
Luc Van Gool
280
111
0
11 May 2022
Reinforcement learning on graphs: A survey
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2022
Mingshuo Nie
Dongming Chen
Dongqi Wang
571
78
0
13 Apr 2022
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning
International 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
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
International Conference on Machine Learning (ICML), 2021
Sixing Yu
Arya Mazaheri
Ali Jannesari
264
54
0
05 Feb 2021
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