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{ "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/" } ] }