Auto Graph Encoder-Decoder for Neural Network Pruning

25 November 2020

Papers citing "Auto Graph Encoder-Decoder for Neural Network Pruning"

22 / 22 papers shown

Title
Maximum Redundancy Pruning: A Principle-Driven Layerwise Sparsity Allocation for LLMs Chang Gao Kang Zhao J. Chen Liping Jing 42 0 0 24 Mar 2025
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning Lixian Jing Jianpeng Qi Junyu Dong Yanwei Yu 3DPC AI4CE 39 0 0 24 Dec 2024
Layer Pruning with Consensus: A Triple-Win Solution Leandro Giusti Mugnaini Carolina Tavares Duarte Anna H. Reali Costa Artur Jordao 71 0 0 21 Nov 2024
Rethinking Pruning for Backdoor Mitigation: An Optimization Perspective Nan Li Haiyang Yu Ping Yi AAML 28 0 0 28 May 2024
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction Siqi Li Jun Chen Jingyang Xiang Chengrui Zhu Yong-Jin Liu 26 0 0 13 Mar 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 11 2 0 25 Oct 2023
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning Sixing Yu J. P. Muñoz Ali Jannesari AI4CE 79 7 0 30 Sep 2023
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks Jue Chen Huan Yuan Jianchao Tan Bin Chen Chengru Song Di Zhang 25 3 0 09 Aug 2023
Lossy and Lossless (L $^2$ ) Post-training Model Size Compression Yumeng Shi Shihao Bai Xiuying Wei Ruihao Gong Jianlei Yang 16 3 0 08 Aug 2023
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models Sixing Yu J. P. Muñoz Ali Jannesari AI4CE 19 46 0 19 May 2023
Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment Jong-Ryul Lee Yong-Hyuk Moon 17 0 0 03 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey Yang He Lingao Xiao 3DPC 28 116 0 01 Mar 2023
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing Waqwoya Abebe Ali Jannesari 15 0 0 16 Dec 2022
Towards Sparsification of Graph Neural Networks Hongwu Peng Deniz Gurevin Shaoyi Huang Tong Geng Weiwen Jiang O. Khan Caiwen Ding GNN 30 24 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 19 12 0 16 Aug 2022
Heterogeneous Graph Neural Networks for Software Effort Estimation Hung Phan Ali Jannesari 19 8 0 22 Jun 2022
Revisiting Random Channel Pruning for Neural Network Compression Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 19 81 0 11 May 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 17 45 0 13 Apr 2022
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning Sixing Yu P. Nguyen Waqwoya Abebe Wei Qian Ali Anwar Ali Jannesari FedML 32 20 0 29 Nov 2021
Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning Hanwei Fan Jiandong Mu W. Zhang 22 5 0 22 Sep 2021
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning Sixing Yu Arya Mazaheri Ali Jannesari 11 36 0 05 Feb 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016