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The Ethereal
Memory Mosaics
May 10, 2024 ยท Declared Dead ยท ๐ International Conference on Learning Representations
"No code URL or promise found in abstract"
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Authors
Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Lรฉon Bottou
arXiv ID
2405.06394
Category
cs.LG: Machine Learning
Cross-listed
cs.AI,
cs.NE
Citations
11
Venue
International Conference on Learning Representations
Last Checked
5 months ago
Abstract
Memory Mosaics are networks of associative memories working in concert to achieve a prediction task of interest. Like transformers, memory mosaics possess compositional capabilities and in-context learning capabilities. Unlike transformers, memory mosaics achieve these capabilities in comparatively transparent way ("predictive disentanglement"). We illustrate these capabilities on a toy example and also show that memory mosaics perform as well or better than transformers on medium-scale language modeling tasks.
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