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The Unreasonable Effectiveness of Recurrent Neural Networks

. (21.05.2015)

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Andrej Stuchlik

Andrej Andris

Andrej Novikov

Andrej Hasilik

Andrej Panasenko

 

Другие публикации лиц с тем же именем

Curriculum Learning for Motor Skills., и . Canadian AI, том 7310 из Lecture Notes in Computer Science, стр. 325-330. Springer, (2012)The Unreasonable Effectiveness of Recurrent Neural Networks. (21.05.2015)Connecting images and natural language.. Stanford University, USA, (2016)Large-Scale Video Classification with Convolutional Neural Networks., , , , , и . CVPR, стр. 1725-1732. IEEE Computer Society, (2014)Deep visual-semantic alignments for generating image descriptions., и . CVPR, стр. 3128-3137. IEEE Computer Society, (2015)Emergence of Object-Selective Features in Unsupervised Feature Learning., , и . NIPS, стр. 2690-2698. (2012)ImageNet Large Scale Visual Recognition Challenge, , , , , , , , , и 2 other автор(ы). (2014)cite arxiv:1409.0575Comment: 43 pages, 16 figures. v3 includes additional comparisons with PASCAL VOC (per-category comparisons in Table 3, distribution of localization difficulty in Fig 16), a list of queries used for obtaining object detection images (Appendix C), and some additional references.Visualizing and Understanding Recurrent Networks., , и . CoRR, (2015)Deep visual-semantic alignments for generating image descriptions., и . CVPR, стр. 3128-3137. IEEE Computer Society, (2015)ImageNet Large Scale Visual Recognition Challenge., , , , , , , , , и 2 other автор(ы). Int. J. Comput. Vis., 115 (3): 211-252 (2015)