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Effective Approaches to Attention-based Neural Machine Translation.

, , and . EMNLP, page 1412-1421. The Association for Computational Linguistics, (2015)

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Learning Longer-term Dependencies in RNNs with Auxiliary Losses., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4972-4981. PMLR, (2018)Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout., , , , , , and . NeurIPS, (2020)Unsupervised Data Augmentation for Consistency Training., , , , and . NeurIPS, (2020)When Are Tree Structures Necessary for Deep Learning of Representations?, , , and . EMNLP, page 2304-2314. The Association for Computational Linguistics, (2015)Solving olympiad geometry without human demonstrations., , , , and . Nat., 625 (7995): 476-482 (January 2024)Towards Domain-Agnostic Contrastive Learning., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 10530-10541. PMLR, (2021)FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation., , , , , , , , , and 1 other author(s). CoRR, (2023)Effective Approaches to Attention-based Neural Machine Translation., , and . EMNLP, page 1412-1421. The Association for Computational Linguistics, (2015)Deep Neural Language Models for Machine Translation., , and . CoNLL, page 305-309. ACL, (2015)Learning Distributed Representations for Multilingual Text Sequences., , and . VS@HLT-NAACL, page 88-94. The Association for Computational Linguistics, (2015)