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EmoNets: Multimodal deep learning approaches for emotion recognition in video., , , , , , , , , и 8 other автор(ы). J. Multimodal User Interfaces, 10 (2): 99-111 (2016)Generative Adversarial Nets., , , , , , , и . NIPS, стр. 2672-2680. (2014)Challenges in Representation Learning: A Report on Three Machine Learning Contests., , , , , , , , , и 18 other автор(ы). ICONIP (3), том 8228 из Lecture Notes in Computer Science, стр. 117-124. Springer, (2013)Combining modality specific deep neural networks for emotion recognition in video., , , , , , , , , и 17 other автор(ы). ICMI, стр. 543-550. ACM, (2013)An Investigation of Model-Free Planning., , , , , , , , , и 3 other автор(ы). ICML, том 97 из Proceedings of Machine Learning Research, стр. 2464-2473. PMLR, (2019)Generalizable Features From Unsupervised Learning., , и . ICLR (Workshop), OpenReview.net, (2017)Multi-Prediction Deep Boltzmann Machines., , , и . NIPS, стр. 548-556. (2013)Theano: A Python framework for fast computation of mathematical expressions, , , , , , , , , и 103 other автор(ы). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.Maxout Networks., , , , и . ICML (3), том 28 из JMLR Workshop and Conference Proceedings, стр. 1319-1327. JMLR.org, (2013)Conditional generative adversarial nets, и . arXiv preprint arXiv:1411.1784, (2014)