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Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1, , , , и . arXiv preprint arXiv:1602.02830, (2016)Hyperbolic Discounting and Learning over Multiple Horizons, , , , и . (2019)cite arxiv:1902.06865.Large-Scale Learning of Embeddings with Reconstruction Sampling., , и . ICML, стр. 945-952. Omnipress, (2011)Multimodal Transitions for Generative Stochastic Networks., , и . ICLR (Workshop Poster), (2014)Graph Attention Networks., , , , , и . ICLR (Poster), OpenReview.net, (2018)How to Construct Deep Recurrent Neural Networks., , , и . ICLR (Poster), (2014)SampleRNN: An Unconditional End-to-End Neural Audio Generation Model., , , , , , , и . ICLR (Poster), OpenReview.net, (2017)Recall Traces: Backtracking Models for Efficient Reinforcement Learning., , , , , , , и . ICLR (Poster), OpenReview.net, (2019)Suitability of V1 Energy Models for Object Classification, , и . Neural Computation, (16.12.2010)Mutual Information Neural Estimation., , , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 530-539. PMLR, (2018)