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Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion., , , и . EACL (Findings), стр. 980-992. Association for Computational Linguistics, (2023)Molecular geometry prediction using a deep generative graph neural network., , , и . CoRR, (2019)Finger tracking: facilitating non-commercial content production for mobile e-reading applications., , , , , и . MobileHCI, стр. 34:1-34:15. ACM, (2017)Backward Compatibility During Data Updates by Weight Interpolation., , , , , и . EACL (1), стр. 2846-2861. Association for Computational Linguistics, (2024)Measuring and Reducing Model Update Regression in Structured Prediction for NLP., , , , , и . NeurIPS, (2022)Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification., , , , , , , и . EMNLP, стр. 10433-10442. Association for Computational Linguistics, (2023)Unsupervised Learning of Video Representations using LSTMs., , и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 843-852. JMLR.org, (2015)A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models., , и . CoRR, (2019)Conversation Style Transfer using Few-Shot Learning., , , , , , и . IJCNLP (1), стр. 119-143. Association for Computational Linguistics, (2023)Label Semantic Aware Pre-training for Few-shot Text Classification., , , , , , и . ACL (1), стр. 8318-8334. Association for Computational Linguistics, (2022)