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Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

, , , , , , and . (2014)cite arxiv:1406.1078Comment: EMNLP 2014.

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Blocks and Fuel: Frameworks for deep learning., , , , , , and . CoRR, (2015)Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation, , , , , and . Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, page 1724--1734. Association for Computational Linguistics, (October 2014)Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming., , and . NeurIPS, page 6259-6268. (2018)Automatic differentiation in ML: Where we are and where we should be going., , , and . NeurIPS, page 8771-8781. (2018)Tangent: Automatic Differentiation Using Source Code Transformation in Python., , and . CoRR, (2017)Information matrices and generalization., , , , , and . CoRR, (2019)Theano: A Python framework for fast computation of mathematical expressions, , , , , , , , , and 103 other author(s). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.In Search for a Generalizable Method for Source Free Domain Adaptation., , , , and . CoRR, (2023)Automatic differentiation in ML: Where we are and where we should be going., , , and . CoRR, (2018)On the interplay between noise and curvature and its effect on optimization and generalization., , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3503-3513. PMLR, (2020)