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$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression.

, , , , , and . NeurIPS, page 20230-20242. (2021)

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Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns., , and . CoRR, (2020)Improved Classification of Known and Unknown Network Traffic Flows Using Semi-supervised Machine Learning., , and . ACISP (2), volume 9723 of Lecture Notes in Computer Science, page 493-501. Springer, (2016)Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning., , , , and . LCN, page 469-472. IEEE, (2018)Training robust models using Random Projection., , , , , and . ICPR, page 531-536. IEEE, (2016)Dimensionality-Driven Learning with Noisy Labels., , , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 3361-3370. PMLR, (2018)An efficient approach to detecting concept-evolution in network data streams., , and . ATNAC, page 1-7. IEEE, (2011)Normalized Loss Functions for Deep Learning with Noisy Labels., , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 6543-6553. PMLR, (2020)A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data., , and . ICDM Workshops, page 916-923. IEEE Computer Society, (2017)Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining., , and . CIKM, page 2015-2018. ACM, (2017)A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection., , , and . SDM, page 118-126. SIAM, (2021)