%0 Generic %1 jiang2023adgym %A Jiang, Minqi %A Hou, Chaochuan %A Zheng, Ao %A Han, Songqiao %A Huang, Hailiang %A Wen, Qingsong %A Hu, Xiyang %A Zhao, Yue %D 2023 %K ad benchmark %T ADGym: Design Choices for Deep Anomaly Detection

@misc{jiang2023adgym, added-at = {2024-05-17T14:35:34.000+0200}, archiveprefix = {arXiv}, author = {Jiang, Minqi and Hou, Chaochuan and Zheng, Ao and Han, Songqiao and Huang, Hailiang and Wen, Qingsong and Hu, Xiyang and Zhao, Yue}, biburl = {https://www.bibsonomy.org/bibtex/29f8cb9faedd826aef050ac5710f573d4/daschloer}, description = {ADGym: Design Choices for Deep Anomaly Detection}, eprint = {2309.15376}, interhash = {3c2bd0964404df3654538e3b5b862c2b}, intrahash = {9f8cb9faedd826aef050ac5710f573d4}, keywords = {ad benchmark}, primaryclass = {cs.LG}, timestamp = {2024-05-17T14:35:34.000+0200}, title = {ADGym: Design Choices for Deep Anomaly Detection}, year = 2023 }