Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev. Representation Topology Divergence: A Method for Comparing Neural Network Representations. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 1607-1626, PMLR, 2022. [doi]
@inproceedings{BarannikovTBB22,
title = {Representation Topology Divergence: A Method for Comparing Neural Network Representations},
author = {Serguei Barannikov and Ilya Trofimov and Nikita Balabin and Evgeny Burnaev},
year = {2022},
url = {https://proceedings.mlr.press/v162/barannikov22a.html},
researchr = {https://researchr.org/publication/BarannikovTBB22},
cites = {0},
citedby = {0},
pages = {1607-1626},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
volume = {162},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}