{"pk":27248,"title":"Analogies Emerge from Learning Dyamics in Neural Networks","subtitle":null,"abstract":"When a neural network is trained on multiple analogous tasks,previous research has shown that it will often generate rep-resentations that reflect the analogy. This may explain thevalue of multi-task training, and also may underlie the powerof human analogical reasoning – awareness of analogies mayemerge naturally from gradient-based learning in neural net-works. We explore this issue by generalizing linear analysistechniques to explore two sets of analogous tasks, show thatanalogical structure is commonly extracted, and address somepotential implications.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"neural networks; structure learning; representa-tion; analogy; transfer;"}],"section":"Posters: Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/5s8259wx","frozenauthors":[{"first_name":"Andrew","middle_name":"","last_name":"Lampinen","name_suffix":"","institution":"Stanford University","department":""},{"first_name":"Shaw","middle_name":"","last_name":"Hsu","name_suffix":"","institution":"Stanford University","department":""},{"first_name":"James","middle_name":"L.","last_name":"McClelland","name_suffix":"","institution":"Stanford University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2017-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/27248/galley/16884/download/"}]}