Motik, Boris
Reasoning in Description Logics using Resolution and Deductive Databases
Universität Karlsruhe, Fak. f. Wirtschaftswissenschaften. Diss. v. 09.01.2006.
H. Zhang, Y. Dauphin, and T. Ma. (2019)cite arxiv:1901.09321Comment: Accepted for publication at ICLR 2019; see https://openreview.net/forum?id=H1gsz30cKX.
J. Yosinski, J. Clune, Y. Bengio, and H. Lipson. (2014)cite arxiv:1411.1792Comment: To appear in Advances in Neural Information Processing Systems 27 (NIPS 2014).
O. Yadan, K. Adams, Y. Taigman, and M. Ranzato. (2013)cite arxiv:1312.5853Comment: Machine Learning, Deep Learning, Convolutional Networks, Computer Vision, GPU, CUDA.
R. Straeten, T. Mens, J. Simmonds, and V. Jonckers. UML 2003 – The Unified Modeling Language, volume 2863 of Lecture Notes in Computer Science, page 326--340. Springer, (2003)
H. Spieker, A. Gotlieb, D. Marijan, and M. Mossige. (2018)cite arxiv:1811.04122Comment: Spieker, H., Gotlieb, A., Marijan, D., & Mossige, M. (2017). Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous Integration. In Proceedings of 26th International Symposium on Software Testing and Analysis (ISSTA'17) (pp. 12--22). ACM.
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein and 2 other author(s). (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.
A. Razavian, H. Azizpour, J. Sullivan, and 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.
D. Povey, X. Zhang, and S. Khudanpur. (2014)cite arxiv:1410.7455Comment: Accepted as workshop contribution to ICLR 2015. 12 pages plus 16 pages of appendices, International Conference on Learning Representations (ICLR): Workshop track, 2015. 2 sets of minor fixes post-publication..
B. Motik. Proceedings of the 18th International Conference on Conceptual Structures (ICCS 2010), volume 6208 of Lecture Notes in Computer Science, page 10-12. Springer, (2010)
J. Metzger, F. Ber, and A. Napoli. Proceedings of the 11th International Conference on Conceptual Structures (ICCS 2003), volume 2746 of Lecture Notes in Computer Science, page 215-228. Springer, (2003)
C. Ma, V. Smith, M. Jaggi, M. Jordan, P. Richtárik, and M. Takáč. (2015)cite arxiv:1502.03508Comment: ICML 2015: JMLR W&CP volume37, Proceedings of The 32nd International Conference on Machine Learning, pp. 1973-1982.
H. Li, Z. Xu, G. Taylor, C. Studer, and T. Goldstein. (2017)cite arxiv:1712.09913Comment: NIPS 2018 (extended version, 10.5 pages), code is available at https://github.com/tomgoldstein/loss-landscape.