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Reward Isn't Free: Supervising Robot Learning with Language and Video from the Web

The Stanford AI Lab Blog

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. Conference of the North American Chapter of the Association for Computational Linguistics. ↩ Devlin, J., Annual Meeting of the Association for Computational Linguistics. ↩ Brown et al. Kalashnikov, D., Quillen, D.,

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The State of Multilingual AI

Sebastian Ruder

Initiatives   The Association for Computational Linguistics (ACL) has emphasized the importance of language diversity, with a special theme track at the main ACL 2022 conference on this topic. In Findings of the Association for Computational Linguistics: ACL 2022 (pp. Computational linguistics, 47(2), 255-308.

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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. In Association for Computational Linguistics (ACL), pp. 1112–1122, 2018. ↩ Yonatan Giefman and Ran El-Yaniv. Erik Jones*, Shiori Sagawa* Pang Wei Koh*, Ananya Kumar, and Percy Liang. Deep learning face attributes in the wild.

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ML and NLP Research Highlights of 2021

Sebastian Ruder

In computer vision, supervised pre-trained models such as Vision Transformer [2] have been scaled up [3] and self-supervised pre-trained models have started to match their performance [4]. Transactions of the Association for Computational Linguistics, 9, 978–994. link] ↩︎ Hendricks, L.

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AI Distillery (Part 2): Distilling by Embedding

ML Review

If the embedding vectors work as expected, computer vision papers should be closer together in this space, and reinforcement learning (RL) papers close to other RL papers. vector: Probing sentence embeddings for linguistic properties. Simple, like with like. TACL, 5, 135–146. Conneau, A., Kruszewski, G., 2126–2136).

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