Citation notice #8473 · 2026-08-05 06:18:22.262764+00:00

Dynamic Sensitivity Filter Pruning using Multi-Agent Reinforcement Learning For DCNN's

cites A multi-agent reinforce- ment learning based approach for automatic filter pruning,, which carries a correction notice dated 2025-04-23. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

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01Evidence

Raw extraction · citation context · bibliography index 13

Li, and J. Zhao, "An efficient multi-agent reinforce- ment learning framework for neural network compression," Neurocom- puting, vol. 428, pp. 132-144, 2021. [13] Z. Li, X. Zuo, Y . Song, D. Liang, and Z. Xie, "A multi-agent reinforce- ment learning based approach for automatic filter pruning," Sci. Rep., vol. 14, no. 1, p. 31193, Dec. 2024, doi: 10.1038/s41598-024-82562-w. [14] E. Camci, M. Gupta, M. Wu, and J. Lin, "QLP: Deep Q-learning for pruning deep neural networks," IEEE Trans. Circuits Syst. Video Technol., vol. 32, no. 10, pp. 6488-6501, 2022. [15] G. Hinton, O. Vinyals, and J. Dean, "Distilling the knowledge in a neural network," Comput. Sci., vol. 14, no. 7, pp. 38-39, 2015. [16] Z. Liu, J. Li, Z. Shen, G.

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Li, and J. Zhao, "An efficient multi-agent reinforce- ment learning framework for neural network compression," Neurocom- puting, vol. 428, pp. 132-144, 2021. [13] Z. Li, X. Zuo, Y . Song, D. Liang, and Z. Xie, "A multi-agent reinforce- ment learning based approach for automatic filter pruning," Sci. Rep., vol. 14, no. 1, p. 31193, Dec. 2024, doi: 10.1038/s41598-024-82562-w. [14] E. Camci, M. Gupta, M. Wu, and J. Lin, "QLP: Deep Q-learning for pruning deep neural networks," IEEE Trans. Circuits Syst. Video Technol., vol. 32, no. 10, pp. 6488-6501, 2022. [15] G. Hinton, O. Vinyals, and J. Dean, "Distilling the knowledge in a neural network," Comput. Sci., vol. 14, no. 7, pp. 38-39, 2015. [16] Z. Liu, J. Li, Z. Shen, G

02Event

Type

Correction

Source

Crossref

Original DOI

10.1038/s41598-024-82562-w

Notice DOI

10.1038/s41598-025-98325-0

Date

2025-04-23

Title

Author Correction: A multi-agent reinforcement learning based approach for automatic filter pruning

Reasons

['Correction']

Work

A multi-agent reinforce- ment learning based approach for automatic filter pruning, (2024) Scientific Reports

Schema constants (for re-runners): correction · crossref

03Dispute this notice

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