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Weight selection is a method for initializing smaller neural network models by selecting a subset of weights from a pretrained larger model, improving performance and reducing training time. It can be used with knowledge distillation and is useful for training small models in resource-constrained settings.
https://arxiv.org/abs//2311.18823
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
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
Weight selection is a method for initializing smaller neural network models by selecting a subset of weights from a pretrained larger model, improving performance and reducing training time. It can be used with knowledge distillation and is useful for training small models in resource-constrained settings.
https://arxiv.org/abs//2311.18823
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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