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ADGym: Design Choices for Deep Anomaly Detection
v1v2 (latest)

ADGym: Design Choices for Deep Anomaly Detection

Neural Information Processing Systems (NeurIPS), 2023
27 September 2023
Minqi Jiang
Chaochuan Hou
Ao Zheng
Songqiao Han
Hailiang Huang
Qingsong Wen
Xiyang Hu
Yue Zhao
ArXiv (abs)PDFHTML

Papers citing "ADGym: Design Choices for Deep Anomaly Detection"

4 / 4 papers shown
TSGym: Design Choices for Deep Multivariate Time-Series Forecasting
TSGym: Design Choices for Deep Multivariate Time-Series Forecasting
Shuang Liang
Chaochuan Hou
Xu Yao
Shiping Wang
Minqi Jiang
Songqiao Han
Hailiang Huang
AI4TS
216
0
0
21 Sep 2025
Multi-Robot Motion Planning with Diffusion Models
Multi-Robot Motion Planning with Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024
Yorai Shaoul
Itamar Mishani
Shivam Vats
Jiaoyang Li
Maxim Likhachev
DiffM
454
15
0
04 Oct 2024
Hyperparameter Optimization for Unsupervised Outlier Detection
Hyperparameter Optimization for Unsupervised Outlier Detection
Yue Zhao
Leman Akoglu
318
4
0
24 Aug 2022
TODS: An Automated Time Series Outlier Detection System
TODS: An Automated Time Series Outlier Detection SystemAAAI Conference on Artificial Intelligence (AAAI), 2020
Kwei-Harng Lai
Daochen Zha
Guanchu Wang
Junjie Xu
Yue Zhao
...
Yile Chen
Purav Zumkhawaka
Minyang Wan
D. Martinez
Helen Zhou
AI4TS
456
77
0
18 Sep 2020
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