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    Out-of-sample generalisation of memory in deep reinforcement learning agents: we demonstrate how two different kinds of memory help out-of-distribution generalisation, and propose a memory task suite.

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    is crucial for general , and understanding what transfers to what is crucial for . Taskonomy ( oral) is one step towards understanding transferability among tasks. Live demo and more:

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  3. Retweeted

    Very excited to announce the natural language decathlon benchmark and the first single joint deep learning model to do well on ten different nlp tasks including question answering, translation, summarization, sentiment analysis, ++

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