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Plug and Play Language Models: A Simple Approach to Controlled Text Generation, , , , , , , и . (2019)cite arxiv:1912.02164Comment: ICLR 2020 camera ready.Motivating Serendipitous Encounters in Museum Recommendations., , , , и . Advances in Distributed Agent-Based Retrieval Tools, том 361 из Studies in Computational Intelligence, Springer, (2011)Declarative Machine Learning Systems: The future of machine learning will depend on it being in the hands of the rest of us., и . ACM Queue, 19 (3): 46-76 (2021)Distributional Semantics for Answer Re-ranking in Question Answering., , , , и . IIR, том 964 из CEUR Workshop Proceedings, стр. 100-103. CEUR-WS.org, (2013)Playing with knowledge: A virtual player for "Who Wants to Be a Millionaire?" that leverages question answering techniques., , , , и . Artif. Intell., (2015)Social Question Answering: Textual, User, and Network Features for Best Answer Prediction., , и . ACM Trans. Inf. Syst., 35 (1): 4:1-4:40 (2016)Plug and Play Language Models: A Simple Approach to Controlled Text Generation., , , , , , , и . ICLR, OpenReview.net, (2020)Declarative Machine Learning Systems., и . CoRR, (2021)An intriguing failing of convolutional neural networks and the CoordConv solution., , , , , , и . NeurIPS, стр. 9628-9639. (2018)Personalized Benchmarking with the Ludwig Benchmarking Toolkit., , , , и . NeurIPS Datasets and Benchmarks, (2021)