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Three Factors Influencing Minima in SGD

, , , , , , и . (2017)cite arxiv:1711.04623Comment: First two authors contributed equally. Short version accepted into ICLR workshop.

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Gernot Amoser

Amos Weissmann

Amos Winkler

Amos Schmidt

Dirk Amos

 

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Exploration by Random Network Distillation, , , и . (2018)cite arxiv:1810.12894.DNN's Sharpest Directions Along the SGD Trajectory, , , , , и . (2018)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)Three Factors Influencing Minima in SGD, , , , , , и . (2017)cite arxiv:1711.04623Comment: First two authors contributed equally. Short version accepted into ICLR workshop.Large-Scale Study of Curiosity-Driven Learning., , , , , и . (2018)cite arxiv:1808.04355Comment: First three authors contributed equally and ordered alphabetically. Website at https://pathak22.github.io/large-scale-curiosity/.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)Multi-period Trading Prediction Markets with Connections to Machine Learning., и . ICML, том 32 из JMLR Workshop and Conference Proceedings, стр. 1773-1781. JMLR.org, (2014)Training Deep Convolutional Neural Networks to Play Go., и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 1766-1774. JMLR.org, (2015)Extracting Motion Primitives from Natural Handwriting Data., , и . ICANN (2), том 4132 из Lecture Notes in Computer Science, стр. 634-643. Springer, (2006)How to train your MAML., , и . ICLR (Poster), OpenReview.net, (2019)