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This paper presents a comprehensive survey on deep model fusion, a technique that merges the parameters or predictions of multiple deep learning models. It categorizes existing methods and discusses challenges and future research directions.
https://arxiv.org/abs//2309.15698
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
This paper presents a comprehensive survey on deep model fusion, a technique that merges the parameters or predictions of multiple deep learning models. It categorizes existing methods and discusses challenges and future research directions.
https://arxiv.org/abs//2309.15698
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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