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Representation Learning: A Review and New Perspectives

, , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (8): 1798-1828 (2013)

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Adversarially Learned Inference., , , , , , and . CoRR, (2016)Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation., , , , , , and . (2016)cite arxiv:1606.00776Comment: 21 pages, 2 figures, 10 tables.Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations., , , , , , , , , and . ICLR (Poster), OpenReview.net, (2017)Calibrating Energy-based Generative Adversarial Networks., , , , and . ICLR (Poster), OpenReview.net, (2017)SampleRNN: An Unconditional End-to-End Neural Audio Generation Model., , , , , , , and . ICLR (Poster), OpenReview.net, (2017)Adversarially Learned Inference., , , , , , and . ICLR (Poster), OpenReview.net, (2017)Recurrent Batch Normalization., , , , and . ICLR (Poster), OpenReview.net, (2017)Systematic Generalization: What Is Required and Can It Be Learned?, , , , , and . ICLR (Poster), OpenReview.net, (2019)Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks., , , and . ICLR, OpenReview.net, (2019)Note on the bias and variance of variational inference., and . CoRR, (2019)