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Disambiguation of "Irie, Kazuki"

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The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers.

, , and . EMNLP (1), page 619-634. Association for Computational Linguistics, (2021)

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Robert Irie

 

Other publications of authors with the same name

RWTH ASR Systems for LibriSpeech: Hybrid vs Attention., , , , , , , and . INTERSPEECH, page 231-235. ISCA, (2019)Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules., , and . NeurIPS, (2022)A Modern Self-Referential Weight Matrix That Learns to Modify Itself., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 9660-9677. PMLR, (2022)The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 9639-9659. PMLR, (2022)Linear Transformers Are Secretly Fast Weight Programmers., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9355-9366. PMLR, (2021)The Rwth Asr System for Ted-Lium Release 2: Improving Hybrid Hmm With Specaugment., , , , , and . ICASSP, page 7839-7843. IEEE, (2020)Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions., , and . EMNLP, page 9455-9465. Association for Computational Linguistics, (2023)MoEUT: Mixture-of-Experts Universal Transformers., , , , and . CoRR, (2024)On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition., , , , , and . INTERSPEECH, page 3800-3804. ISCA, (2019)The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization., , and . ICLR, OpenReview.net, (2022)