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The Unreasonable Effectiveness of Few-shot Learning for Machine Translation.

, , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 10867-10878. PMLR, (2023)

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Paria Yamini

Vikas Bansal

Yamini Jeevagan

Sunil Bansal

Mahesh Bansal

 

Другие публикации лиц с тем же именем

Distributional Generalization: A New Kind of Generalization, и . (2020)cite arxiv:2009.08092Comment: PN, YB co-first authors.On the Information Bottleneck Theory of Deep Learning., , , , , , и . ICLR (Poster), OpenReview.net, (2018)For self-supervised learning, Rationality implies generalization, provably., , и . ICLR, OpenReview.net, (2021)The Unreasonable Effectiveness of Few-shot Learning for Machine Translation., , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 10867-10878. PMLR, (2023)Deep Double Descent: Where Bigger Models and More Data Hurt, , , , , и . (2019)cite arxiv:1912.02292Comment: G.K. and Y.B. contributed equally.On the information bottleneck theory of deep learning, , , , , , и . Journal of Statistical Mechanics: Theory and Experiment, 2019 (12): 124020 (декабря 2019)Deep Double Descent: Where Bigger Models and More Data Hurt., , , , , и . ICLR, OpenReview.net, (2020)On the information bottleneck theory of deep learning, , , и . (2018)The unreasonable effectiveness of few-shot learning for machine translation., , , , , , , и . CoRR, (2023)Revisiting Model Stitching to Compare Neural Representations., , и . NeurIPS, стр. 225-236. (2021)