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margin loss

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class imbalance (5) metric learning (5) adversarial training (3) face recognition (3) binary classification (3) representation learning (3) link function (2) graph neural network (2) loss function (2) bias mitigation (2)

Papers

Deep Metric Learning With Tuplet Margin Loss ICCV 2019 Deep Unknown Intent Detection with Margin Loss ACL 2019 Generalizable Adversarial Training via Spectral Normalization ICLR 2019 Hyperspherical Prototype Networks NeurIPS 2019 Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss NeurIPS 2019 Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract) IJCAI 2018 A View of Margin Losses as Regularizers of Probability Estimates JMLR 2015 Gibbs Max-Margin Topic Models with Fast Sampling Algorithms ICML 2013 Composite Binary Losses JMLR 2010 Variable margin losses for classifier design NeurIPS 2010