Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images - researchr publication authors

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David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen 0004, Ricardo Henao, Lawrence Carin. Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. In Marzyeh Ghassemi, Tristan Naumann, Emma Pierson, editors, ACM CHIL '21: ACM Conference on Health, Inference, and Learning, Virtual Event, USA, April 8-9, 2021. pages 14-24, ACM, 2021. [doi]

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