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Meta-learning for fast cross-lingual adaptation in dependency parsing.

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Phillip Schley

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Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models., , , , и . STACOM@MICCAI, том 13131 из Lecture Notes in Computer Science, стр. 93-102. Springer, (2021)The Hateful Memes Challenge: Competition Report., , , , , , , , , и 15 other автор(ы). NeurIPS (Competition and Demos), том 133 из Proceedings of Machine Learning Research, стр. 344-360. PMLR, (2020)Differentiable Mathematical Programming for Object-Centric Representation Learning., , и . ICLR, OpenReview.net, (2023)PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers., , , , и . CoRR, (2023)CITRIS: Causal Identifiability from Temporal Intervened Sequences., , , , , и . CoRR, (2022)Weakly supervised causal representation learning., , , и . NeurIPS, (2022)Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing., , , , , , и . ACL (1), стр. 8503-8520. Association for Computational Linguistics, (2022)Meta-learning for fast cross-lingual adaptation in dependency parsing., , , , , , и . CoRR, (2021)BISCUIT: Causal Representation Learning from Binary Interactions., , , , , и . UAI, том 216 из Proceedings of Machine Learning Research, стр. 1263-1273. PMLR, (2023)Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems., , , , , и . ICLR, OpenReview.net, (2023)