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Generative Compositional Augmentations for Scene Graph Prediction.

, , , , , и . ICCV, стр. 15807-15817. IEEE, (2021)

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Uni- and multivariate probability density models for numeric subgroup discovery., , , , и . Intell. Data Anal., 24 (6): 1403-1439 (2020)Generative Compositional Augmentations for Scene Graph Prediction., , , , , и . ICCV, стр. 15807-15817. IEEE, (2021)Empirical evaluation of gradient methods for matrix learning vector quantization., , и . WSOM, стр. 197-204. IEEE, (2017)Parametric Nonlinear Regression Models for Dike Monitoring Systems., , , и . IDA, том 8819 из Lecture Notes in Computer Science, стр. 345-355. Springer, (2014)Equilibrated adaptive learning rates for non-convex optimization., , и . NIPS, стр. 1504-1512. (2015)Deep Learning Vector Quantization., , и . ESANN, (2016)Systematic Generalization: What Is Required and Can It Be Learned?, , , , , и . ICLR (Poster), OpenReview.net, (2019)Visual Reasoning with Multi-hop Feature Modulation., , , , , , , и . ECCV (5), том 11209 из Lecture Notes in Computer Science, стр. 808-831. Springer, (2018)Theano: A Python framework for fast computation of mathematical expressions, , , , , , , , , и 103 other автор(ы). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.Systematic Generalization: What Is Required and Can It Be Learned?, , , , , и . CoRR, (2018)