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Maximum Classifier Discrepancy

technology1 mentionslast seen Oct 1, 2026

Unsupervised deep learning-based domain adaptation method used to train neural networks on experimental EBSD patterns.

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neural networkdepends onMaximum Classifier Discrepancy92% confidence1 source

Maximum Classifier Discrepancy

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neural networkdepends onMaximum Classifier Discrepancy

92% confidence1 supporting mentions

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preprintarXivMay 2, 2025Towards Space Group Determination from EBSD Patterns: The Role of Deep Learning and High-throughput Dynamical Simulations
Maximum Classifier Discrepancy, an unsupervised deep learning-based domain adaptation method, was utilized to train neural networks to make predictions for experimental EBSD patterns