A Simple and Effective Convolutional Filter Pruning based on Filter Dissimilarity Analysis

Erick FX, Sawant SS, Goeb S, Holzer N, Lang EW, Goetz T (2022)

Publication Type: Conference contribution

Publication year: 2022

Publisher: SCITEPRESS

City/Town: SETUBAL

Pages Range: 139-145

Conference Proceedings Title: ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 3

Event location: , ELECTR NETWORK

DOI: 10.5220/0010786400003116

Involved external institutions

Fraunhofer-Institut für Integrierte Schaltungen (IIS) DE Germany (DE) Universität Regensburg DE Germany (DE)

How to cite

APA:

Erick, F.X., Sawant, S.S., Goeb, S., Holzer, N., Lang, E.W., & Goetz, T. (2022). A Simple and Effective Convolutional Filter Pruning based on Filter Dissimilarity Analysis. In ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 3 (pp. 139-145). , ELECTR NETWORK: SETUBAL: SCITEPRESS.

MLA:

Erick, F. X., et al. "A Simple and Effective Convolutional Filter Pruning based on Filter Dissimilarity Analysis." Proceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART), , ELECTR NETWORK SETUBAL: SCITEPRESS, 2022. 139-145.

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