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