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Promoting Exploration in Memory-Augmented Adam using Critical Momenta
The paper proposes a memory-augmented version of the Adam optimizer that promotes exploration towards flatter minima, improving performance on language modelling and image classification tasks.
https://arxiv.org/abs//2307.09638
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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By Igor Melnyk
5
33 ratings
The paper proposes a memory-augmented version of the Adam optimizer that promotes exploration towards flatter minima, improving performance on language modelling and image classification tasks.
https://arxiv.org/abs//2307.09638
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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