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- BibTeX key
- conf/nips/YiYLTK21
- entry type
- inproceedings
- booktitle
- NeurIPS Datasets and Benchmarks
- year
- 2021
- crossref
- conf/nips/2021db
- ee
- https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/2a38a4a9316c49e5a833517c45d31070-Abstract-round2.html
- url
- http://dblp.uni-trier.de/db/conf/nips/neurips2021db.html#YiYLTK21
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- please select -%0 Conference Paper
%1 conf/nips/YiYLTK21
%A Yi, Chenyu
%A Yang, Siyuan
%A Li, Haoliang
%A Tan, Yap-Peng
%A Kot, Alex C.
%B NeurIPS Datasets and Benchmarks
%D 2021
%E Vanschoren, Joaquin
%E Yeung, Sai-Kit
%K dblp
%T Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions.
%U http://dblp.uni-trier.de/db/conf/nips/neurips2021db.html#YiYLTK21
@inproceedings{conf/nips/YiYLTK21,
added-at = {2022-07-07T00:00:00.000+0200},
author = {Yi, Chenyu and Yang, Siyuan and Li, Haoliang and Tan, Yap-Peng and Kot, Alex C.},
biburl = {https://www.bibsonomy.org/bibtex/2c063849d8fb7e433b2364b8356040970/dblp},
booktitle = {NeurIPS Datasets and Benchmarks},
crossref = {conf/nips/2021db},
editor = {Vanschoren, Joaquin and Yeung, Sai-Kit},
ee = {https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/2a38a4a9316c49e5a833517c45d31070-Abstract-round2.html},
interhash = {2bdcc63723022c06ae12a8a5e8440695},
intrahash = {c063849d8fb7e433b2364b8356040970},
keywords = {dblp},
timestamp = {2024-04-09T23:14:14.000+0200},
title = {Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions.},
url = {http://dblp.uni-trier.de/db/conf/nips/neurips2021db.html#YiYLTK21},
year = 2021
}