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Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels.

, , , and . CogSci, cognitivesciencesociety.org, (2018)

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Adapting Deep Network Features to Capture Psychological Representations., , and . CoRR, (2016)Human uncertainty makes classification more robust., , , and . CoRR, (2019)Capturing human categorization of natural images at scale by combining deep networks and cognitive models., , and . CoRR, (2019)Understanding Student Success in Chemistry Using Gaze Tracking and Pupillometry., , , , , and . AIED, volume 9112 of Lecture Notes in Computer Science, page 358-366. Springer, (2015)Capturing Human Category Representations by Sampling in Deep Feature Spaces., , , , and . ICLR (Workshop), OpenReview.net, (2018)Predicting human decisions with behavioral theories and machine learning., , , , , , , , , and 2 other author(s). CoRR, (2019)Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning., , and . CoRR, (2019)Cognitive model priors for predicting human decisions., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5133-5141. PMLR, (2019)What Makes an Object Memorable?, , , , and . ICCV, page 1089-1097. IEEE Computer Society, (2015)Deep Neural Networks and How They Apply to Sequential Education Data., , and . L@S, page 321-324. ACM, (2016)