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Lipschitz Generative Adversarial Nets., , , , , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 7584-7593. PMLR, (2019)AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods., , , , , и . ICLR (Poster), OpenReview.net, (2019)Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs., , , , и . CoRR, (2019)Improving Unsupervised Domain Adaptation with Variational Information Bottleneck., , , , , , , и . CoRR, (2019)Activation Maximization Generative Adversarial Nets., , , , , , , и . ICLR (Poster), OpenReview.net, (2018)Learning to Branch in Combinatorial Optimization with Graph Pointer Networks., , , , , , и . IEEE CAA J. Autom. Sinica, 11 (1): 157-169 (января 2024)Generative Adversarial Nets with Labeled Data by Activation Maximization., , , , , и . CoRR, (2017)Face Transfer with Generative Adversarial Network., , , и . CoRR, (2017)Recurrent Temporal Revision Graph Networks., , , , , , , , и . CoRR, (2023)Learning to Design Games: Strategic Environments in Deep Reinforcement Learning., , , , , , и . CoRR, (2017)