SupplementaryMaterialfor Geoclidean: Few-ShotGeneralization inEuclideanGeometry
–Neural Information Processing Systems
Participants were recruited on Prolific [Palan and Schitter, 2018], and compensated withanhourlywageof $15.8. SeeFigure 1foranexample of a survey question given to participants,hostedonQualtrics. You may decline to answer any or all of the following questions. Your anonymity is assured; the researchers who have requested your participation will not receive any personalinformationaboutyou". A.4 FeatureVisualizations We provide visualizations of low-level features from ResNet50 and the Vision Transformer on a variety of rendered Geoclidean images. In contrast, the third Geoclideantask is difficult for both vision models, highlighting the intended difficulty of Euclidean geometric reasoning -why our task is especially interesting.
Neural Information Processing Systems
Feb-13-2026, 04:24:41 GMT
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- North America > United States > California > Santa Clara County > Palo Alto (0.05)
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- Information Technology > Artificial Intelligence > Vision (0.68)