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Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning., , и . ICLR (Poster), OpenReview.net, (2018)Dynamic Coattention Networks For Question Answering., , и . ICLR (Poster), OpenReview.net, (2017)Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning., , , , и . CoRR, (2020)Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering., , , , и . ICLR, OpenReview.net, (2020)Assessing Local Generalization Capability in Deep Models., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 2077-2087. PMLR, (2020)CTRL: A Conditional Transformer Language Model for Controllable Generation, , , , и . (2019)cite arxiv:1909.05858.Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning., , , , и . NeurIPS, стр. 27395-27407. (2021)Towards Understanding Hierarchical Learning: Benefits of Neural Representations., , , , , , и . NeurIPS, (2020)Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing., , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 4870-4888. Association for Computational Linguistics, (2020)A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks., , , и . EMNLP, стр. 1923-1933. Association for Computational Linguistics, (2017)