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Generalizable Features From Unsupervised Learning., , and . ICLR (Workshop), OpenReview.net, (2017)Universal Successor Representations for Transfer Reinforcement Learning., , and . ICLR (Workshop), OpenReview.net, (2018)Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1, , , , and . arXiv preprint arXiv:1602.02830, (2016)Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives., , , , , and . CoRR, (2019)What regularized auto-encoders learn from the data-generating distribution., and . J. Mach. Learn. Res., 15 (1): 3563-3593 (2014)Large-Scale Learning of Embeddings with Reconstruction Sampling., , and . ICML, page 945-952. Omnipress, (2011)Recall Traces: Backtracking Models for Efficient Reinforcement Learning., , , , , , , and . ICLR (Poster), OpenReview.net, (2019)Multimodal Transitions for Generative Stochastic Networks., , and . ICLR (Workshop Poster), (2014)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)