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Boundary-Seeking Generative Adversarial Networks, , , , , and . (2017)cite arxiv:1702.08431.Learning deep representations by mutual information estimation and maximization., , , , , and . CoRR, (2018)Representation Learning with Video Deep InfoMax., and . CoRR, (2020)Data-Efficient Reinforcement Learning with Momentum Predictive Representations., , , , , and . CoRR, (2020)Batch Weight for Domain Adaptation With Mass Shift., , and . ICCV, page 1844-1853. IEEE, (2019)Deep Graph Infomax., , , , , and . ICLR (Poster), OpenReview.net, (2019)Learning deep representations by mutual information estimation and maximization., , , , , , and . ICLR, OpenReview.net, (2019)Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia., , , , , , , , , and 1 other author(s). NeuroImage, (2015)Predicting Unreliable Predictions by Shattering a Neural Network., , , , , and . CoRR, (2021)On-Line Adaptative Curriculum Learning for GANs., , , , , , and . AAAI, page 3470-3477. AAAI Press, (2019)