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{
    "pk": 27858,
    "title": "Capturing human category representations by sampling in deep feature spaces",
    "subtitle": null,
    "abstract": "Understanding how people represent categories is a core prob-lem in cognitive science. Decades of research have yieldeda variety of formal theories of categories, but validating themwith naturalistic stimuli is difficult. The challenge is that hu-man category representations cannot be directly observed andrunning informative experiments with naturalistic stimuli suchas images requires a workable representation of these stimuli.Deep neural networks have recently been successful in solvinga range of computer vision tasks and provide a way to com-pactly represent image features. Here, we introduce a methodto estimate the structure of human categories that combinesideas from cognitive science and machine learning, blendinghuman-based algorithms with state-of-the-art deep image gen-erators. We provide qualitative and quantitative results as aproof-of-concept for the method’s feasibility. Samples drawnfrom human distributions rival those from state-of-the-art gen-erative models in quality and outperform alternative methodsfor estimating the structure of human categories.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Categorization"
        },
        {
            "word": "Neural Networks"
        },
        {
            "word": "Markov chain Monte Carlo"
        }
    ],
    "section": "Publication-based-Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/7b4322c3",
    "frozenauthors": [
        {
            "first_name": "Joshua",
            "middle_name": "C",
            "last_name": "Peterson",
            "name_suffix": "",
            "institution": "UC Berkley",
            "department": ""
        },
        {
            "first_name": "Jordan",
            "middle_name": "W",
            "last_name": "Suchow",
            "name_suffix": "",
            "institution": "UC Berkley",
            "department": ""
        },
        {
            "first_name": "Krisha",
            "middle_name": "",
            "last_name": "Aghi",
            "name_suffix": "",
            "institution": "UC Berkley",
            "department": ""
        },
        {
            "first_name": "Thomas",
            "middle_name": "L",
            "last_name": "Griffiths",
            "name_suffix": "",
            "institution": "UC Berkley",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2018-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27858/galley/17496/download/"
        }
    ]
}