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Found 2 papers, 2 papers with code
Cross-Image Context Matters for Bongard Problems
Current machine learning methods struggle to solve Bongard problems, which are a type of IQ test that requires deriving an abstract "concept" from a set of positive and negative "support" images, and then classifying whether or not a new query image depicts the key concept.
Ranked #2 on
Few-Shot Image Classification
on Bongard-HOI
(using extra training data)
Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment
The field of women's endocrinology has trailed behind data-driven medical solutions, largely due to concerns over the privacy of patient data.
