基本信息
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个人简介
My research is on the intersection of developing new algorithms for machine learning and new applications. In the area of algorithms, I'm particularly interested in (1) making deep networks more modular and richly structured and (2) improving the generalization performance of deep networks, especially across shifting domains. I am particularly interested in techniques which use functional inspiration from the brain and psychology to improve performance on real tasks.
In terms of applications of Machine Learning, I'm interested in pretty much everything. My most recent applied work has been on historical Japanese documents and has resulted in KuroNet, a publicly released service which makes classical Japanese documents (more) understandable to readers of modern Japanese. At Amazon, I worked on systems for estimating how much products will sell in the future. As an undergraduate, I developed text classifiers for Twitter to help measure and monitor flu outbreaks.
In terms of applications of Machine Learning, I'm interested in pretty much everything. My most recent applied work has been on historical Japanese documents and has resulted in KuroNet, a publicly released service which makes classical Japanese documents (more) understandable to readers of modern Japanese. At Amazon, I worked on systems for estimating how much products will sell in the future. As an undergraduate, I developed text classifiers for Twitter to help measure and monitor flu outbreaks.
研究兴趣
论文共 70 篇作者统计合作学者相似作者
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CoRR (2024)
引用3浏览0EI引用
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ANURAG KOUL,Shivakanth Sujit,Shaoru Chen, Benjamin Evans,Lili Wu, Byron Xu,Rajan Chari,Riashat Islam,Raihan Seraj,Yonathan Efroni,Lekan Molu,Miroslav Dudik,
Manan Tomar, Philippe Hansen-Estruch,Philip Bachman,Alex Lamb,John Langford,Matthew E. Taylor,Sergey Levine
arxiv(2024)
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ICML 2023pp.14390-14421, (2023)
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ICLR 2023 (2023)
Dianbo Liu,Alex Lamb,Xu Ji, Pascal Junior Tikeng Notsawo,Michael Mozer,Yoshua Bengio,Kenji Kawaguchi
AAAI 2023no. 7 (2023): 8825-8833
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