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

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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