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{
    "pk": 28528,
    "title": "Human few-shot learning of compositional instructions",
    "subtitle": null,
    "abstract": "People learn in fast and flexible ways that have not been emu-lated by machines. Once a person learns a new verb “dax,” heor she can effortlessly understand how to “dax twice,” “walkand dax,” or “dax vigorously.” There have been striking recentimprovements in machine learning for natural language pro-cessing, yet the best algorithms require vast amounts of experi-ence and struggle to generalize new concepts in compositionalways. To better understand these distinctively human abilities,we study the compositional skills of people through language-like instruction learning tasks. Our results show that peoplecan learn and use novel functional concepts from very fewexamples (few-shot learning), successfully applying familiarfunctions to novel inputs. People can also compose conceptsin complex ways that go beyond the provided demonstrations.Two additional experiments examined the assumptions and in-ductive biases that people make when solving these tasks, re-vealing three biases: mutual exclusivity, one-to-one mappings,and iconic concatenation. We discuss the implications for cog-nitive modeling and the potential for building machines withmore human-like language learning capabilities.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "concept learning; compositionality; word learn-ing; neural networks"
        }
    ],
    "section": "Papers with Oral Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/5vr9p4ks",
    "frozenauthors": [
        {
            "first_name": "Brenden",
            "middle_name": "M.",
            "last_name": "Lake",
            "name_suffix": "",
            "institution": "New York University",
            "department": ""
        },
        {
            "first_name": "Tal",
            "middle_name": "",
            "last_name": "Linzen",
            "name_suffix": "",
            "institution": "John Hopkins University",
            "department": ""
        },
        {
            "first_name": "Marco",
            "middle_name": "",
            "last_name": "Baroni",
            "name_suffix": "",
            "institution": "Facebook AI Research",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2019-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28528/galley/18399/download/"
        }
    ]
}