%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 }