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{ "pk": 29806, "title": "Generalizing Outside the Training Set:When Can Neural Networks Learn Identity Effects?", "subtitle": null, "abstract": "Often in language and other areas of cognition, whether twocomponents of an object are identical or not determine whetherit is well formed. We call such constraints identity effects.When developing a system to learn well-formedness from ex-amples, it is easy enough to build in an identify effect. But canidentity effects be learned from the data without explicit guid-ance? We provide a simple framework in which we can rig-orously prove that algorithms satisfying simple criteria cannotmake the correct inference. We then show that a broad classof algorithms including deep neural networks with standardarchitecture and training with backpropagation satisfy our cri-teria, dependent on the encoding of inputs. Finally, we demon-strate our theory with computational experiments in which weexplore the effect of different input encodings on the ability ofalgorithms to generalize to novel inputs.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "identity effects" }, { "word": "machine learning" }, { "word": "neural net-works" }, { "word": "Generalization" } ], "section": "Poster Session 2", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/7g08r13k", "frozenauthors": [ { "first_name": "Simone", "middle_name": "", "last_name": "Brugiapaglia", "name_suffix": "", "institution": "Concordia University", "department": "" }, { "first_name": "Matthew", "middle_name": "", "last_name": "Liu", "name_suffix": "", "institution": "Concordia University", "department": "" }, { "first_name": "Paul", "middle_name": "", "last_name": "Tupper", "name_suffix": "", "institution": "Simon Fraser University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2020-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29806/galley/19660/download/" } ] }