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Adversarially Learned Representations for Information Obfuscation and Inference.

, , , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 614-623. PMLR, (2019)

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A Wireless Sensor Network Application with Distributed Processing in the Compressed Domain., , , , , , and . AMMDS, volume 8703 of Lecture Notes in Computer Science, page 104-115. Springer, (2014)Blind Pareto Fairness and Subgroup Robustness., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 7492-7501. PMLR, (2021)Self-Calibrating Circuit for Implantable Current Stimulators., , , , and . LASCAS, page 1-4. IEEE, (2023)Instance-based Generalization in Reinforcement Learning., , , and . NeurIPS, (2020)Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers., , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 2629-2637. PMLR, (2024)An open tool for input function estimation and quantification of dynamic PET FDG brain scans., , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (8): 1419-1430 (2016)Distributionally Robust Group Backwards Compatibility., , , and . CoRR, (2021)Putting Artificial Intelligence Techniques into a Concept Map to Build Educational Tools., , , , and . IWINAC (2), volume 4528 of Lecture Notes in Computer Science, page 617-627. Springer, (2007)Minimax Fairness in Machine Learning.. Duke University, Durham, NC, USA, (2022)base-search.net (ftdukeunivdsp:oai:localhost:10161/25303).Attention-Based Network for Weak Labels in Neonatal Seizure Detection., , , , , , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 479-507. PMLR, (2020)