[AAAI 2025] SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization
Автор: Embedded AI Lab, UNIST
Загружено: 2025-01-09
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Описание:
The presentation of the paper "SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization" In the 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, Pennsylvania, USA, Feb 2025. (AAAI 2025)
Authors: Kwangryeol Park and Seulki Lee (https://sites.google.com/view/seulkilee)
Affiliation: Embedded AI Lab, UNIST (Ulsan National Institute of Science and Technology, https://sites.google.com/view/embeddedai)
Paper pdf: https://arxiv.org/pdf/2412.08894
Slides: https://drive.google.com/file/d/14TZB...
Code: https://github.com/eai-lab/SMMF
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