Anant Khandelwal. MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning. In Timothy Doster, Tegan Emerson, Henry Kvinge, Nina Miolane, Mathilde Papillon, Bastian Rieck, Sophia Sanborn, editors, Topological, Algebraic and Geometric Learning Workshops 2023, 28 July 2023, Honolulu, HI, USA. Volume 221 of Proceedings of Machine Learning Research, pages 519-533, PMLR, 2023. [doi]
@inproceedings{Khandelwal23,
title = {MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning},
author = {Anant Khandelwal},
year = {2023},
url = {https://proceedings.mlr.press/v221/khandelwal23a.html},
researchr = {https://researchr.org/publication/Khandelwal23},
cites = {0},
citedby = {0},
pages = {519-533},
booktitle = {Topological, Algebraic and Geometric Learning Workshops 2023, 28 July 2023, Honolulu, HI, USA},
editor = {Timothy Doster and Tegan Emerson and Henry Kvinge and Nina Miolane and Mathilde Papillon and Bastian Rieck and Sophia Sanborn},
volume = {221},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}