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f-Domain Adversarial Learning: Theory and Algorithms.

, , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 66-75. PMLR, (2021)

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Feature generation for long-tail classification., , , and . ICVGIP, page 41:1-41:9. ACM, (2021)Efficient Multiple Instance Metric Learning Using Weakly Supervised Data., , , , and . CVPR, page 5948-5956. IEEE Computer Society, (2017)Hybrid Pooling Fusion in the BoW Pipeline., , and . ECCV Workshops (3), volume 7585 of Lecture Notes in Computer Science, page 355-364. Springer, (2012)Deep Spectral Clustering Learning., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1985-1994. PMLR, (2017)How Much More Data Do I Need? Estimating Requirements for Downstream Tasks., , , , , , , , and . CVPR, page 275-284. IEEE, (2022)Domain Adversarial Training: A Game Perspective., , , and . ICLR, OpenReview.net, (2022)Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting., , , , , , , and . Trans. Mach. Learn. Res., (2023)Neural Spacetimes for DAG Representation Learning., , , , and . CoRR, (2024)Quadruplet-Wise Image Similarity Learning., , and . ICCV, page 249-256. IEEE Computer Society, (2013)Ultrahyperbolic Neural Networks.. NeurIPS, page 22058-22069. (2021)