S. Sankaranarayanan, Y. Balaji, C. Castillo, и R. Chellappa. (2017)cite arxiv:1704.01705Comment: Accepted as spotlight talk at CVPR 2018. Code available here: https://github.com/yogeshbalaji/Generate_To_Adapt.
J. Zheng, S. Pawar, и D. Goodman. (2017)cite arxiv:1710.04626Comment: Submitted to IEEE Transactions on Visualization and Computer Graphics on 11/04/2018.
D. Soudry, E. Hoffer, M. Nacson, S. Gunasekar, и N. Srebro. (2017)cite arxiv:1710.10345Comment: Journal version (previous version appeared as conference paper in ICLR ). Main improvements: We proved measure zero case for main theorem (with implication for the rates), and the multi-class case. Both were not covered in previous version.
R. Kidambi, P. Netrapalli, P. Jain, и S. Kakade. (2018)cite arxiv:1803.05591Comment: 28 pages, 10 figures. Appears as an oral presentation at International Conference on Learning Representations (ICLR), 2018. Code implementing the ASGD method can be found at https://github.com/rahulkidambi/AccSGD.