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ADGym: Design Choices for Deep Anomaly Detection

, , , , , , , и . (2023)

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Xiyang Luo

Jun Hu

Zaijun Hu

Hu Wang

Bing Hu

 

Другие публикации лиц с тем же именем

ADBench: Anomaly Detection Benchmark., , , , и . NeurIPS, (2022)BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs., , , , , , , , , и 5 other автор(ы). NeurIPS, (2022)Credit Risk Modeling without Sensitive Features: An Adversarial Deep Learning Model for Fairness and Profit., , , и . ICIS, Association for Information Systems, (2022)SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection., , , , , , , , , и 4 other автор(ы). MLSys, mlsys.org, (2021)SUOD: A Scalable Unsupervised Outlier Detection Framework., , , , , , , и . CoRR, (2020)Weakly Supervised Anomaly Detection: A Survey., , , , , , , , и . CoRR, (2023)Uncovering the Source of Evaluation Bias in Micro-Lending., , , и . ICIS, Association for Information Systems, (2021)COPOD: Copula-Based Outlier Detection., , , , и . ICDM, стр. 1118-1123. IEEE, (2020)Optimal Sparse Decision Trees., , и . NeurIPS, стр. 7265-7273. (2019)Language Agnostic Multilingual Information Retrieval with Contrastive Learning., , , , , , и . ACL (Findings), стр. 9133-9146. Association for Computational Linguistics, (2023)