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Sharpness aware minimization
Sharpness aware minimization
PulseAugur coverage of Sharpness aware minimization — every cluster mentioning Sharpness aware minimization across labs, papers, and developer communities, ranked by signal.
总计 · 30天
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90 天内 2
发布 · 30天
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论文 · 30天
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90 天内 2
层级分布 · 90 天
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New LE-SAM method boosts model generalization over traditional SAM
Researchers have introduced Loss-Equated SAM (LE-SAM), a novel approach to enhance generalization in machine learning models. This method addresses a mismatch in Sharpness-Aware Minimization (SAM) by focusing on a fixed…
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New methods like SMF and SAM reduce catastrophic forgetting in LLMs
Two new research papers explore methods to mitigate catastrophic forgetting in language models during fine-tuning. One paper introduces Sparse Memory Finetuning (SMF), which adds memory layers and updates only heavily a…