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Teaching Deep Convolutional Neural Networks to Play Go, и . (2014)cite arxiv:1412.3409Comment: 9 pages, 8 figures, 5 tables. Corrected typos, minor adjustment to table format.Exploration by Random Network Distillation, , , и . (2018)cite arxiv:1810.12894.DNN's Sharpest Directions Along the SGD Trajectory, , , , , и . (2018)BlockSwap: Fisher-guided Block Substitution for Network Compression, , , , и . (2019)cite arxiv:1906.04113.Separable Layers Enable Structured Efficient Linear Substitutions, , и . (2019)cite arxiv:1906.00859.The 2005 PASCAL Visual Object Classes Challenge, , , , , , , , , и 24 other автор(ы). Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment (PASCAL Workshop 05), 3944, стр. 117-176. Southampton, UK, (2006)Three Factors Influencing Minima in SGD, , , , , , и . (2017)cite arxiv:1711.04623Comment: First two authors contributed equally. Short version accepted into ICLR workshop.Probabilistic inference for solving discrete and continuous state Markov Decision Processes, и . International Conference on Machine Learning, стр. 945--952. Pittsburgh, Pennsylvania, ACM Press, (2006)On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length., , , , , и . ICLR (Poster), OpenReview.net, (2019)Exploration by random network distillation., , , и . ICLR (Poster), OpenReview.net, (2019)