ICML-Improving Predictors via Combination Across Diverse Task Categories

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Improving Predictors via Combination Across Diverse Task Categories

                             Kwang In Kim 1

              Abstract                Predictor combination is related to multi-task learning
    Predictor combination is the problem of improv-      (MTL) and transfer learning (TL). However, since no access
    ing a task predictor using predictors of other       to the forms of the references are provided, existing MTL
    tasks when the forms of individual predictors are     and ...

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关键词：combination categories Predictors predictor improving