Abstract: Conventional domain generalization (DG) assumes fully labeled source domains and consistent label spaces across domains. However, in industrial diagnostics, incomplete labeling is common, ...
Abstract: Deep learning has advanced rapidly, but relies heavily on large-labeled datasets for effective training. This is particularly challenging in fields like ...
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
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