arxiv
PublishedOctober 8, 2026 at 4:00 AM
—neutral
MetaLearnNCA: Few-Shot Offline Meta-Learning via Interacting Neural Cellular Automata
Publisher summary· verbatim
arXiv:2610.08479v1 Announce Type: cross Abstract: Few-shot meta-learning traditionally formulates task adaptation either as analytical gradient descent through unrolled computational graphs or as metric-based distance comparisons over flattened 1D fea- ture vectors, which either incur costly test-ti
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Originally published on arxiv ↗