XiangLin Yang, Yun Lin 0001, Ruofan Liu, Jin Song Dong. Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training. In Luc De Raedt, editor, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022. pages 4022-4028, ijcai.org, 2022. [doi]
@inproceedings{Yang0LD22,
title = {Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training},
author = {XiangLin Yang and Yun Lin 0001 and Ruofan Liu and Jin Song Dong},
year = {2022},
doi = {10.24963/ijcai.2022/558},
url = {https://doi.org/10.24963/ijcai.2022/558},
researchr = {https://researchr.org/publication/Yang0LD22},
cites = {0},
citedby = {0},
pages = {4022-4028},
booktitle = {Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022},
editor = {Luc De Raedt},
publisher = {ijcai.org},
}