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Research1 min read
Soft-PNet, a neuro-symbolic model, achieves comparable performance to loss-engineered prototypical networks on tasks like MNIST-EvenOdd and Visual Sudoku with no loss engineering and reduced training time. It reframes concept grounding as a Metropolis walk, utilizing a prototype distribution for guidance.
From arXiv cs.AI
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