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Clustering is Efficient for Approximate Maximum Inner Product Search., и . CoRR, (2015)Parametric Adversarial Divergences are Good Task Losses for Generative Modeling., , , , , и . ICLR (Workshop), OpenReview.net, (2018)A Closer Look at the Optimization Landscapes of Generative Adversarial Networks, , , , и . (2019)cite arxiv:1906.04848.A high-order feature synthesis and selection algorithm applied to insurance risk modelling., , , , и . Int. J. Bus. Intell. Data Min., 6 (3): 237-258 (2011)Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets., , и . NIPS, стр. 1108-1116. (2015)Improving Landmark Localization With Semi-Supervised Learning., , , , , и . CVPR, стр. 1546-1555. Computer Vision Foundation / IEEE Computer Society, (2018)Auto-Encoding Dictionary Definitions into Consistent Word Embeddings., и . EMNLP, стр. 1522-1532. Association for Computational Linguistics, (2018)Manifold Parzen Windows., и . NIPS, стр. 825-832. MIT Press, (2002)Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations., , , , , , и . CoRR, (2023)Combining modality specific deep neural networks for emotion recognition in video., , , , , , , , , и 17 other автор(ы). ICMI, стр. 543-550. ACM, (2013)