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Oxford Wom*n in Computer Science: Highlighting Wom*n Researchers in ML

Hunar Batra · Kelsey Doerksen · Nele Quast

Virtual
[ Abstract ] [ Website ]
Mon 18 Jul 8 a.m. PDT — 10 a.m. PDT

Abstract:

"Our session aims to highlight the distinguished work of several Wom*n Researchers in machine learning. From ML for Space, ML for healthcare, interpretability, climate change, and more, we’ll have you covered with this exciting research and discuss about further possibilities along with established researchers in the field."

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