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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 19 of 19 1 Examining Scaling and Transfer of Language Model Architectures for Machine Translation ... Zhang, Biao; Ghorbani, Behrooz; Bapna, Ankur. - : arXiv, 2022 BASE Show details 2 Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents ... Zhang, Biao; Bapna, Ankur; Johnson, Melvin. - : arXiv, 2021 BASE Show details 3 Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation ... Zhang, Biao; Bapna, Ankur; Sennrich, Rico. - : ICLR, 2021 BASE Show details 4 Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021 ... Zhang, Biao; Sennrich, Rico. - : ACL Anthology, 2021 BASE Show details 5 On Sparsifying Encoder Outputs in Sequence-to-Sequence Models ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Zhang, Biao. - : Underline Science Inc., 2021 BASE Show details 6 Sparse Attention with Linear Units ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zhang, Biao. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.523/ Abstract: Recently, it has been argued that encoder-decoder models can be made more interpretable by replacing the softmax function in the attention with its sparse variants. In this work, we introduce a novel, simple method for achieving sparsity in attention: we replace the softmax activation with a ReLU, and show that sparsity naturally emerges from such a formulation. Training stability is achieved with layer normalization with either a specialized initialization or an additional gating function. Our model, which we call Rectified Linear Attention (ReLA), is easy to implement and more efficient than previously proposed sparse attention mechanisms. We apply ReLA to the Transformer and conduct experiments on five machine translation tasks. ReLA achieves translation performance comparable to several strong baselines, with training and decoding speed similar to that of the vanilla attention. Our analysis shows that ReLA delivers high ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://underline.io/lecture/37313-sparse-attention-with-linear-units https://dx.doi.org/10.48448/ghvm-kp96 BASE Hide details 7 Beyond Sentence-Level End-to-End Speech Translation: Context Helps ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Zhang, Biao. - : Underline Science Inc., 2021 BASE Show details 8 Exploring Dynamic Selection of Branch Expansion Orders for Code Generation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Fandong; Huang, Degen. - : Underline Science Inc., 2021 BASE Show details 9 Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation Zhang, Biao; Bapna, Ankur; Sennrich, Rico... In: Zhang, Biao; Bapna, Ankur; Sennrich, Rico; Firat, Orhan (2021). Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation. In: International Conference on Learning Representations, Virtual, 3 May 2021 - 7 May 2021, ICLR. (2021) BASE Show details 10 ParBLEU: Augmenting Metrics with Automatic Paraphrases for the WMT'20 Metrics Shared Task Bawden, Rachel; Zhang, Biao; Tättar, Andre... In: Proceedings of the 5th Conference on Machine Translation ; 5th Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-02981143 ; 5th Conference on Machine Translation, Nov 2020, Online, Unknown Region (2020) BASE Show details 11 Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation ... Zhang, Biao; Williams, Philip; Titov, Ivan. - : arXiv, 2020 BASE Show details 12 Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation ... Zhang, Biao; Williams, Philip; Titov, Ivan. - : Association for Computational Linguistics, 2020 BASE Show details 13 Adaptive Feature Selection for End-to-End Speech Translation ... Zhang, Biao; Titov, Ivan; Haddow, Barry. - : Association for Computational Linguistics, 2020 BASE Show details 14 Fast Interleaved Bidirectional Sequence Generation ... Zhang, Biao; Titov, Ivan; Sennrich, Rico. - : Association for Computational Linguistics, 2020 BASE Show details 15 Brain Structural and Functional Alterations Specific to Low Sleep Efficiency in Major Depressive Disorder Yang, Ying; Zhu, Dao-min; Zhang, Cun. - : Frontiers Media S.A., 2020 BASE Show details 16 Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention ... Zhang, Biao; Titov, Ivan; Sennrich, Rico. - : Association for Computational Linguistics, 2019 BASE Show details 17 Revisiting Low-Resource Neural Machine Translation: A Case Study ... Sennrich, Rico; Zhang, Biao. - : Association for Computational Linguistics, 2019 BASE Show details 18 A Lightweight Recurrent Network for Sequence Modeling ... Zhang, Biao; Sennrich, Rico. - : Association for Computational Linguistics, 2019 BASE Show details 19 BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings ... Zhang, Biao; Xiong, Deyi; Su, Jinsong. - : arXiv, 2016 BASE Show details

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