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Block-Recurrent Transformers.

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Другие публикации лиц с тем же именем

Learning Associative Inference Using Fast Weight Memory., , и . CoRR, (2020)Going Beyond Linear Transformers with Recurrent Fast Weight Programmers., , , и . NeurIPS, стр. 7703-7717. (2021)Learning to Reason with Third Order Tensor Products., и . NeurIPS, стр. 10003-10014. (2018)Learning Associative Inference Using Fast Weight Memory., , и . ICLR, OpenReview.net, (2021)On the Effect of (Near) Duplicate Subwords in Language Modelling., , , и . CoRR, (2024)Solving Quantitative Reasoning Problems with Language Models., , , , , , , , , и 4 other автор(ы). NeurIPS, (2022)Block-Recurrent Transformers., , , , и . NeurIPS, (2022)Ancient Roman Coin Recognition in the Wild Using Deep Learning Based Recognition of Artistically Depicted Face Profiles., и . ICCV Workshops, стр. 2898-2906. IEEE Computer Society, (2017)A Modern Self-Referential Weight Matrix That Learns to Modify Itself., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 9660-9677. PMLR, (2022)Linear Transformers Are Secretly Fast Weight Programmers., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 9355-9366. PMLR, (2021)