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Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives., , , , , and . CoRR, (2019)Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1, , , , and . arXiv preprint arXiv:1602.02830, (2016)Hyperbolic Discounting and Learning over Multiple Horizons, , , , and . (2019)cite arxiv:1902.06865.On the number of inference regions of deep feed forward networks with piece-wise linear activations., , and . ICLR (Poster), (2014)How to Construct Deep Recurrent Neural Networks., , , and . ICLR (Poster), (2014)Multimodal Transitions for Generative Stochastic Networks., , and . ICLR (Workshop Poster), (2014)Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations., , , , , , , , , and . ICLR (Poster), OpenReview.net, (2017)SampleRNN: An Unconditional End-to-End Neural Audio Generation Model., , , , , , , and . ICLR (Poster), OpenReview.net, (2017)Recall Traces: Backtracking Models for Efficient Reinforcement Learning., , , , , , , and . ICLR (Poster), OpenReview.net, (2019)Label Propagation and Quadratic Criterion., , and . Semi-Supervised Learning, The MIT Press, (2006)