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Modal Scenarios as Automata., и . Language, Culture, Computation (1), том 8001 из Lecture Notes in Computer Science, стр. 156-167. Springer, (2014)On the Power of Play-Out for Scenario-Based Programs., , и . Concurrency, Compositionality, and Correctness, том 5930 из Lecture Notes in Computer Science, стр. 207-220. Springer, (2010)Replicated erasure codes for storage and repair-traffic efficiency., , и . P2P, стр. 1-10. IEEE, (2014)Set-SMAA for finding preferable multi-objective solutions., , , и . GECCO (Companion), стр. 149-150. ACM, (2017)Do Not Have Enough Data? Deep Learning to the Rescue!, , , , , , , и . AAAI, стр. 7383-7390. AAAI Press, (2020)A generative model for review-based recommendations., , и . RecSys, стр. 353-357. ACM, (2019)A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering., , , и . ICTIR, стр. 11-18. ACM, (2018)Relaxing Synchronization Constraints in Behavioral Programs., , и . LPAR, том 8312 из Lecture Notes in Computer Science, стр. 355-372. Springer, (2013)On composing and proving the correctness of reactive behavior., , , , , и . EMSOFT, стр. 13:1-13:10. IEEE, (2013)A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training., , , и . ACL (1), стр. 14632-14659. Association for Computational Linguistics, (2023)