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[QA] Stepping on the Edge: Curvature Aware Learning Rate Tuners
Analyzing the dynamics of curvature during training reveals the importance of long-term curvature stabilization for effective learning rate tuning, leading to the development of CDAT.
https://arxiv.org/abs//2407.06183
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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By Igor Melnyk
5
33 ratings
Analyzing the dynamics of curvature during training reveals the importance of long-term curvature stabilization for effective learning rate tuning, leading to the development of CDAT.
https://arxiv.org/abs//2407.06183
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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