Extended Data Fig. 2: The performance of DRNets on Multi-MNIST-Sudoku tasks with different dataset scales. | Nature Machine Intelligence

Extended Data Fig. 2: The performance of DRNets on Multi-MNIST-Sudoku tasks with different dataset scales.

From: Automating crystal-structure phase mapping by combining deep learning with constraint reasoning

Extended Data Fig. 2: The performance of DRNets on Multi-MNIST-Sudoku tasks with different dataset scales.

Learning over multiple instances substantially (especially, for the 9x9 cases) improves the performance of DRNets. Nevertheless, DRNets can reach 99% Sudoku accuracy with only 100 Multi-MNIST-Sudoku instances, a considerable smaller amount of data compared to standard deep learning approaches.

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