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The paper characterizes special channels in neural network loss landscapes where slow loss decrease occurs, leading to gated linear units, enhancing understanding of gradient dynamics and optimization methods.
https://arxiv.org/abs//2506.14951
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
The paper characterizes special channels in neural network loss landscapes where slow loss decrease occurs, leading to gated linear units, enhancing understanding of gradient dynamics and optimization methods.
https://arxiv.org/abs//2506.14951
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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