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Knowledge distillation (KD) is a simple and successful method to transfer knowledge from a teacher to a student model solely based on functional activity. However, current KD has a few shortcomings: it has recently been shown that this method is unsu
Externí odkaz:
http://arxiv.org/abs/2305.14890
Autor:
Pierzchlewicz PA; Institute for Bioinformatics and Medical Informatics, Tübingen University, Tübingen, Germany.; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany., Willeke KF; Institute for Bioinformatics and Medical Informatics, Tübingen University, Tübingen, Germany.; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany., Nix AF; Institute for Bioinformatics and Medical Informatics, Tübingen University, Tübingen, Germany.; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany., Elumalai P; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany., Restivo K; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Shinn T; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Nealley C; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Rodriguez G; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Patel S; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Franke K; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Tolias AS; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA., Sinz FH; Institute for Bioinformatics and Medical Informatics, Tübingen University, Tübingen, Germany.; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.
Publikováno v:
BioRxiv : the preprint server for biology [bioRxiv] 2023 May 20. Date of Electronic Publication: 2023 May 20.