Motik, Boris
Reasoning in Description Logics using Resolution and Deductive Databases
Universität Karlsruhe, Fak. f. Wirtschaftswissenschaften. Diss. v. 09.01.2006.
O. Yadan, K. Adams, Y. Taigman, и M. Ranzato. (2013)cite arxiv:1312.5853Comment: Machine Learning, Deep Learning, Convolutional Networks, Computer Vision, GPU, CUDA.
B. Baker, O. Gupta, R. Raskar, и N. Naik. (2017)cite arxiv:1705.10823Comment: Submitted to International Conference on Learning Representations, (2018).
H. Zhang, Y. Dauphin, и T. Ma. (2019)cite arxiv:1901.09321Comment: Accepted for publication at ICLR 2019; see https://openreview.net/forum?id=H1gsz30cKX.
H. Li, Z. Xu, G. Taylor, C. Studer, и T. Goldstein. (2017)cite arxiv:1712.09913Comment: NIPS 2018 (extended version, 10.5 pages), code is available at https://github.com/tomgoldstein/loss-landscape.
J. Yosinski, J. Clune, Y. Bengio, и H. Lipson. (2014)cite arxiv:1411.1792Comment: To appear in Advances in Neural Information Processing Systems 27 (NIPS 2014).
A. Razavian, H. Azizpour, J. Sullivan, и S. Carlsson. (2014)cite arxiv:1403.6382Comment: version 3 revisions: 1)Added results using feature processing and data augmentation 2)Referring to most recent efforts of using CNN for different visual recognition tasks 3) updated text/caption.
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein 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.