{"648368":{"#nid":"648368","#data":{"type":"event","title":"IRIM Seminar Series - Fall 2021 | Understanding and Mitigating Bias in Vision Systems","body":[{"value":"\u003Ch5\u003EJudy Hoffman is an Assistant Professor in the \u003Ca href=\u0022https:\/\/ic.gatech.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E at \u003Ca href=\u0022https:\/\/www.gatech.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EGeorgia Tech\u003C\/a\u003E\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003E As visual recognition models are developed across diverse applications; we need the ability to reliably deploy our systems in a variety of environments. At the same time, visual models tend to be trained and evaluated on a static set of curated and annotated data which only represents a subset of the world. In this talk, I will then cover techniques for transferring information between different visual environments and across different semantic tasks thereby enabling recognition models to generalize to previously unseen worlds, such as from simulated to real-world driving imagery. Finally, I\u0026#39;ll touch on the pervasiveness of dataset bias and how this bias can adversely affect underrepresented subpopulations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003E Dr. Judy Hoffman is an Assistant Professor in the \u003Ca href=\u0022https:\/\/ic.gatech.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E at \u003Ca href=\u0022https:\/\/www.gatech.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EGeorgia Tech\u003C\/a\u003E and a member of the \u003Ca href=\u0022https:\/\/ml.gatech.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EMachine Learning Center\u003C\/a\u003E. Her research lies at the intersection of computer vision and machine learning with specialization in domain adaptation, transfer learning, adversarial robustness, and algorithmic fairness. She has been awarded the NVIDIA female leader in computer vision award in 2020, AIMiner top 100 most influential scholars in Machine Learning (2020), MIT EECS Rising Star in 2015, and is a recipient of the NSF Graduate Fellowship. In addition to her research, she co-founded and continues to advise for Women in Computer Vision, an organization which provides mentorship and travel support for early-career women in the computer vision community. Prior to joining Georgia Tech, she was a Research Scientist at \u003Ca href=\u0022https:\/\/research.fb.com\/category\/facebook-ai-research\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EFacebook AI Research\u003C\/a\u003E. She received her PhD in Electrical Engineering and Computer Science from \u003Ca href=\u0022https:\/\/eecs.berkeley.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EUC Berkeley\u003C\/a\u003E in 2016 after which she completed Postdocs at \u003Ca href=\u0022https:\/\/cs.stanford.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EStanford University\u003C\/a\u003E (2017) and UC Berkeley (2018).\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Featuring Judy Hoffman | Assistant Professor in the School of Interactive Computing at Georgia Tech"}],"uid":"27863","created_gmt":"2021-06-25 13:44:05","changed_gmt":"2021-10-04 18:58:55","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-10-06T13:15:00-04:00","event_time_end":"2021-10-06T14:15:00-04:00","event_time_end_last":"2021-10-06T14:15:00-04:00","gmt_time_start":"2021-10-06 17:15:00","gmt_time_end":"2021-10-06 18:15:00","gmt_time_end_last":"2021-10-06 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"142761","name":"IRIM"},{"id":"545781","name":"Institute for Data Engineering and Science"}],"categories":[],"keywords":[{"id":"188087","name":"go-irim"},{"id":"78811","name":"Institute for Robotics and Intelligent Machines"},{"id":"667","name":"robotics"},{"id":"9167","name":"machine learning"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Emedia@robotics.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}