%0 Conference Paper %1 conf/eccv/ZhenMCS22 %A Zhen, Xingjian %A Meng, Zihang %A Chakraborty, Rudrasis %A Singh, Vikas %B ECCV (26) %D 2022 %E Avidan, Shai %E Brostow, Gabriel J. %E Cissé, Moustapha %E Farinella, Giovanni Maria %E Hassner, Tal %I Springer %K dblp %P 327-346 %T On the Versatile Uses of Partial Distance Correlation in Deep Learning. %U http://dblp.uni-trier.de/db/conf/eccv/eccv2022-26.html#ZhenMCS22 %V 13686 %@ 978-3-031-19809-0

@inproceedings{conf/eccv/ZhenMCS22, added-at = {2022-11-13T00:00:00.000+0100}, author = {Zhen, Xingjian and Meng, Zihang and Chakraborty, Rudrasis and Singh, Vikas}, biburl = {https://www.bibsonomy.org/bibtex/2d1d379fba32e8271b639d145d8534b6a/dblp}, booktitle = {ECCV (26)}, crossref = {conf/eccv/2022-26}, editor = {Avidan, Shai and Brostow, Gabriel J. and Cissé, Moustapha and Farinella, Giovanni Maria and Hassner, Tal}, ee = {https://doi.org/10.1007/978-3-031-19809-0_19}, interhash = {82085b57fc11cb3c5b097fe5566965ce}, intrahash = {d1d379fba32e8271b639d145d8534b6a}, isbn = {978-3-031-19809-0}, keywords = {dblp}, pages = {327-346}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-10T00:28:05.000+0200}, title = {On the Versatile Uses of Partial Distance Correlation in Deep Learning.}, url = {http://dblp.uni-trier.de/db/conf/eccv/eccv2022-26.html#ZhenMCS22}, volume = 13686, year = 2022 }