S. Arora, A. May, J. Zhang, and C. Ré. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, page 2650--2663. Online, Association for Computational Linguistics, (July 2020)
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.
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.
B. Baker, O. Gupta, R. Raskar, and N. Naik. (2017)cite arxiv:1705.10823Comment: Submitted to International Conference on Learning Representations, (2018).
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.
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.
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..
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).
D. Kingma, and J. Ba. (2014)cite arxiv:1412.6980Comment: Published as a conference paper at the 3rd International Conference for Learning Representations, San Diego, 2015.
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.
O. Yadan, K. Adams, Y. Taigman, and M. Ranzato. (2013)cite arxiv:1312.5853Comment: Machine Learning, Deep Learning, Convolutional Networks, Computer Vision, GPU, CUDA.