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Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder., , , и . IJCAI, стр. 1542-1548. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..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)Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances.. SIGIR, стр. 1375-1378. ACM, (2018)Improving Unsupervised Domain Adaptation with Variational Information Bottleneck., , , , , , , и . CoRR, (2019)CoT: Cooperative Training for Generative Modeling., , , и . CoRR, (2018)SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient., , , и . CoRR, (2016)MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence., , , , , и . CoRR, (2017)On the Equilibrium of Query Reformulation and Document Retrieval., , , , и . ICTIR, стр. 43-50. ACM, (2018)