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The State of Transfer Learning in NLP

Sebastian Ruder

2018 ; Akbik et al., 2018 ; Baevski et al., Given enough data, a large number of parameters, and enough compute, a model can do a reasonable job. 2018 ; Wang et al., Network architectures generally determine what is in a representation. 2018 , Ruder et al., 2019 ) of recent years. 2017 ; Peters et al.,

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Selective Classification Can Magnify Disparities Across Groups

The Stanford AI Lab Blog

In Proceedings of the IEEE International Conference on Computer Vision, pp. Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization. In Association for Computational Linguistics (ACL), pp. 1112–1122, 2018. ↩ Yonatan Giefman and Ran El-Yaniv.

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ML and NLP Research Highlights of 2021

Sebastian Ruder

Transactions of the Association for Computational Linguistics, 9, 978–994. Transactions of the Association for Computational Linguistics, 9, 570–585. Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks, 1–34. link] ↩︎ Hendricks, L. Schneider, R.,

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Language Modeling, Ethical Considerations of Generative AI, and Responsible AI

ODSC - Open Data Science

Artificial Intelligence has made significant strides since its inception, evolving from simple algorithms to highly advanced Neural Networks capable of performing sophisticated tasks such as generating completely new content, including images, audio, and video.

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Major trends in NLP: a review of 20 years of ACL research

NLP People

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. Neural Networks are the workhorse of Deep Learning (cf. 2018) present an excellent overview of the state-of-the-art algorithms. Toutanova (2018). Cambria (2018). Hirst (2017).

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