基本信息
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个人简介
My research aims to create more practical machine learning systems. I particularly focus on the inputs and outputs, which are underexplored. On the input side, this means learning paradigms that can better leverage the full breadth of available data. On the output side, this means improving generalization and shrinking the gap between laboratory measurements and real world outcomes. The research I’ve done on these themes bridges multiple domains and applications, including work towards reliable generative AI, healthier social media ecosystems, less human trafficking, and more thoroughly evaluated machine learning systems.
研究兴趣
论文共 10 篇作者统计合作学者相似作者
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Kellin Pelrine, Anne Imouza, Camille Thibault,Meilina Reksoprodjo, Caleb Gupta,Joel Christoph, Jean-François Godbout,Reihaneh Rabbany
CoRR (2023): 6399-6429
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EMNLP 2023 (2023): 3355-3367
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Kellin Pelrine, Anne Imouza,Zachary Yang,Jacob-Junqi Tian,Sacha Lévy, Gabrielle Desrosiers-Brisebois,Aarash Feizi, Cécile Amadoro,André Blais,Jean-François Godbout,Reihaneh Rabbany
arXiv (Cornell University) (2023): 1174-1192
arXiv (Cornell University) (2023)
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IEEE International Conference on Data Miningpp.893-901, (2021)
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