Teaching Models to Understand (but not Generate) High-risk Data
机构 * Department of Computer Science, University of Southern California(计算机科学系,南加州大学) ; Allen Institute for AI(人工智能研究所)
高校专区
机构 * Department of Computer Science, University of Southern California(计算机科学系,南加州大学) ; Allen Institute for AI(人工智能研究所)
机构 * University of Southern California(南加州大学)
机构 * EECS, MIT(MIT电子工程与计算机科学系) ; Cornell University(康奈尔大学) ; CSE, University of Notre Dame(诺丁汉大学计算机科学工程系) ; Computer Science Department, University of California, Los Angeles(加州大学洛杉矶分校计算机科学系) ; Computer Science Department, Lehigh University(莱斯大学计算机科学系) ; School of Advanced Computing, University of Southern California(南加州大学高级计算学院)
机构 * Department of Data Sciences and Operations, University of Southern California, USA(美国南加州大学数据科学与运营系) ; Department of Statistics, University of California, Irvine, USA(美国加州大学伊尔弗斯分校统计系) ; Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche, Università di Torino and Collegio Carlo Alberto, Italy(意大利都灵大学经济与社会科学系和卡尔罗·阿尔贝托学院) ; Department of Computer Science, University of Southern California, USA(美国南加州大学计算机科学系)
机构 * University of Southern California(南加州大学)
Comments ICML 2025; https://papercopilot.com/
机构 * University of Tennessee, Knoxville(田纳西大学) ; University of Maryland, College Park(马里兰大学) ; Apple Inc.(苹果公司) ; University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校) ; University of Southern California(南加州大学)
Comments 76 pages, 4 figures, 2 tables; Journal version of the NeurIPS 2020 paper; Accepted to JMLR