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MetaLearnNCA: Few-Shot Offline Meta-Learning via Interacting Neural Cellular Automata
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-time backpropagation or discard native 2D spatial ge
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