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2022 Awardees

2021 Awardees 2023 Awardees
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    Simon Shaolei Du

    a very productive researcher who authored many strong papers in theory of deep learning and reinforcement learning

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    Danqi Chen

    one of the pioneers of deep learning for NLP. She was one of the first's to show that deep learning can have high impact on NLP by proposing a deep learning based parser. Since then she's been pushing the boundary of deep learning for NLP.

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    Mohit Iyyer

    co-authored one of the most influential, seminal papers on contextualized word embeddings, ELMO. He also contributed in the areas of open-ended question answering and language generation.

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    Tengyu Ma

    one of the pioneers of modern theoretical understanding of deep learning. He worked on analyzing and studying challenging, real-world algorithms doing works leading to better theoretical understanding of neural methods.

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    Aditya Grover

    a productive researcher in probabilistic deep learning. Other than theoretical side, he also contributed to socially important applications such as improving battery materials

Award Ceremony
Awardee’s Contribution Speech

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