{"pk":26460,"title":"Adapting Deep Network Features to Capture Psychological Representations","subtitle":null,"abstract":"Deep neural networks have become increasingly successful atsolving classic perception problems such as object recognition,semantic segmentation, and scene understanding, often reach-ing or surpassing human-level accuracy. This success is duein part to the ability of DNNs to learn useful representationsof high-dimensional inputs, a problem that humans must alsosolve. We examine the relationship between the representa-tions learned by these networks and human psychological rep-resentations recovered from similarity judgments. We find thatdeep features learned in service of object classification accountfor a significant amount of the variance in human similarityjudgments for a set of animal images. However, these fea-tures do not capture some qualitative distinctions that are a keypart of human representations. To remedy this, we develop amethod for adapting deep features to align with human sim-ilarity judgments, resulting in image representations that canpotentially be used to extend the scope of psychological exper-iments.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"deep learning; neural networks; psychologicalrepresentations; similarity"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/63c047pd","frozenauthors":[{"first_name":"Joshua","middle_name":"","last_name":"Peterson","name_suffix":"","institution":"University of California, Berkeley","department":""},{"first_name":"Joshua","middle_name":"","last_name":"Abbott","name_suffix":"","institution":"University of California, Berkeley","department":""},{"first_name":"Thomas","middle_name":"L.","last_name":"Griffiths","name_suffix":"","institution":"University of California, Berkeley","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2016-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/26460/galley/16096/download/"}]}