{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:37:42Z","timestamp":1723016262311},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:p>We introduce an adversarial-critic-and-assistant (ACA) learning framework to improve the performance of existing supervised learning with multiple outputs.  The core contribution of our ACA is  the innovation of two novel modules, i.e. an  `adversarial critic'  and a `collaborative assistant', that are jointly designed to provide  augmenting information for facilitating general learning tasks. Our approach is not intended to be regarded as an emerging competitor for tons of  well-established algorithms in the field. In fact, most existing approaches, while implemented with different learning objectives, can all be adopted as building blocks seamlessly integrated in the ACA framework to accomplish various real-world tasks. We show the performance and generalization ability of ACA on diverse learning tasks including multi-label classification, attributes prediction and sequence-to-sequence generation.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/688","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:46:05Z","timestamp":1564285565000},"page":"4954-4960","source":"Crossref","is-referenced-by-count":0,"title":["Learning  Assistance from an Adversarial Critic for Multi-Outputs Prediction"],"prefix":"10.24963","author":[{"given":"Yue","family":"Deng","sequence":"first","affiliation":[{"name":"AI Research Center, Samsung Research America"}]},{"given":"Yilin","family":"Shen","sequence":"additional","affiliation":[{"name":"AI Research Center, Samsung Research America"}]},{"given":"Hongxia","family":"Jin","sequence":"additional","affiliation":[{"name":"AI Research Center, Samsung Research America"}]}],"member":"10584","event":{"number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2019","name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","start":{"date-parts":[[2019,8,10]]},"theme":"Artificial Intelligence","location":"Macao, China","end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:51:03Z","timestamp":1564285863000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/688"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/688","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}