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Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection.

, , , , , , and . DASFAA (1), volume 13245 of Lecture Notes in Computer Science, page 387-394. Springer, (2022)

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Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection., , , , , , and . WWW, page 3168-3177. ACM / IW3C2, (2021)Understanding and Mitigating Accuracy Disparity in Regression., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1866-1876. PMLR, (2021)Conditional Supervised Contrastive Learning for Fair Text Classification., , , , , and . EMNLP (Findings), page 2736-2756. Association for Computational Linguistics, (2022)Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation., , , and . NeurIPS, (2020)The Llama 3 Herd of Models, , , , , , , , , and 523 other author(s). (2024)PolicyQA: A Reading Comprehension Dataset for Privacy Policies., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 743-749. Association for Computational Linguistics, (2020)AUC-oriented Graph Neural Network for Fraud Detection., , , , , , , and . WWW, page 1311-1321. ACM, (2022)Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries., , , and . USENIX Security Symposium, page 1327-1344. USENIX Association, (2020)Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies., , , , and . EACL, page 201-210. Association for Computational Linguistics, (2023)ADAPT: Adversarial Domain Adaptation with Purifier Training for Cross-Domain Credit Risk Forecasting., , , , , and . DASFAA (1), volume 13245 of Lecture Notes in Computer Science, page 353-369. Springer, (2022)