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Eugene Yan Shares Cheng's Sudoku Experiment: Reverse Curriculum Beats Standard Training

Original titleCheng’s experiment is cool! Especially this: “instead of starting with easy sudoku puzzles data and gradually ramping up toward harder on...

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Eugene Yan highlights Cheng's sudoku experiment, in which training on hard puzzles first and easy ones last outperformed both easy-to-hard curricula and mixed-difficulty sampling. The post builds on Cheng's project Sotaku, a neural net that reportedly learned sudoku rules automatically and scored 98.9% on a hard sudoku dataset.

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Source: Eugene Yan · x.comPublished · added here