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The MultiBERTs: BERT Reproductions for Robustness Analysis.

T. Sellam, S. Yadlowsky, I. Tenney, J. Wei, N. Saphra, A. D'Amour, T. Linzen, J. Bastings, I. Turc, J. Eisenstein, D. Das, and E. Pavlick. ICLR, OpenReview.net, (2022)

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Scaling Vision Transformers to 22 Billion Parameters.M. Dehghani, J. Djolonga, B. Mustafa, P. Padlewski, J. Heek, J. Gilmer, A. Steiner, M. Caron, R. Geirhos, I. Alabdulmohsin and 32 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 7480-7512. PMLR, (2023)Scaling Vision Transformers to 22 Billion Parameters.M. Dehghani, J. Djolonga, B. Mustafa, P. Padlewski, J. Heek, J. Gilmer, A. Steiner, M. Caron, R. Geirhos, I. Alabdulmohsin and 32 other author(s). CoRR, (2023)Autoregressive Diffusion Models.E. Hoogeboom, A. Gritsenko, J. Bastings, B. Poole, R. van den Berg, and T. Salimans. CoRR, (2021)"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification.J. Bastings, S. Ebert, P. Zablotskaia, A. Sandholm, and K. Filippova. CoRR, (2021)Graph Convolutional Encoders for Syntax-aware Neural Machine Translation.J. Bastings, I. Titov, W. Aziz, D. Marcheggiani, and K. Sima'an. EMNLP, page 1957-1967. Association for Computational Linguistics, (2017)Parameter-Efficient Multilingual Summarisation: An Empirical Study.C. Whitehouse, F. Huot, J. Bastings, M. Dehghani, C. Lin, and M. Lapata. CoRR, (2023)Diagnosing AI Explanation Methods with Folk Concepts of Behavior.A. Jacovi, J. Bastings, S. Gehrmann, Y. Goldberg, and K. Filippova. CoRR, (2022)"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification.J. Bastings, S. Ebert, P. Zablotskaia, A. Sandholm, and K. Filippova. EMNLP, page 976-991. Association for Computational Linguistics, (2022)Joey NMT: A Minimalist NMT Toolkit for Novices.J. Kreutzer, J. Bastings, and S. Riezler. EMNLP/IJCNLP (3), page 109-114. Association for Computational Linguistics, (2019)All Fragments Count in Parser Evaluation.J. Bastings, and K. Sima'an. LREC, page 78-82. European Language Resources Association (ELRA), (2014)

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The MultiBERTs: BERT Reproductions for Robustness Analysis.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The MultiBERTs: BERT Reproductions for Robustness Analysis.

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The MultiBERTs: BERT Reproductions for Robustness Analysis.