Wasserstein Dependency Measure for Representation LearningEI

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    Cited by: 4|Bibtex|86|

    NeurIPS, pp. 15578-15588, 2019.

    Keywords:
    reinforcement learningobject recognitionspeech recognitiontight lower bound

    Abstract:

    Mutual information maximization has emerged as a powerful learning objective for unsupervised representation learning obtaining state-of-the-art performance in applications such as object recognition, speech recognition, and reinforcement learning. However, such approaches are fundamentally limited since a tight lower bound on mutual info...More
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