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Learning from labeled, unlabeled data with label propagation , author= · 2002

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cs.LG 1

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2020 1

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UNVERDICTED 1

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TabTransformer: Tabular Data Modeling Using Contextual Embeddings

cs.LG · 2020-12-11 · unverdicted · novelty 6.0

TabTransformer uses Transformer self-attention to generate contextual embeddings from categorical features in tabular data, outperforming prior deep learning methods by at least 1% mean AUC and matching tree-based ensembles on 15 public datasets while showing robustness to missing and noisy features

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  • TabTransformer: Tabular Data Modeling Using Contextual Embeddings cs.LG · 2020-12-11 · unverdicted · none · ref 3

    TabTransformer uses Transformer self-attention to generate contextual embeddings from categorical features in tabular data, outperforming prior deep learning methods by at least 1% mean AUC and matching tree-based ensembles on 15 public datasets while showing robustness to missing and noisy features