Papers Poker Hand Classification
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TabNet: Attentive Interpretable Tabular Learning
2019-08-20
· Sercan O. Arik, Tomas Pfister
We propose a novel high-performance and interpretable canonical deep tabular data learning architecture, TabNet. TabNet uses sequential attention to choose which features to reason from at each decision step, enabling in…
Decision MakingPoker Hand ClassificationRepresentation LearningSelf-Supervised Learning
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