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Wasserstein Dependency Measure for Representation LearningEI
NeurIPS, pp. 15578-15588, 2019.
Keywords:reinforcement learningobject recognitionspeech recognitiontight lower bound
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