{"666554":{"#nid":"666554","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Ryan Benkert","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EEstablishing Trust in Neural Networks with Representation Shifts\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp; \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. AlRegib, Advisor\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Dyer, Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Kira\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of the proposed research is to improve the trust in neural networks with second-order representation shifts. While neural networks are effective in modeling complex data dependencies, human trust remains a major obstacle for industrial deployment and network predictions are frequently met with sincere skepticism. In this work, I propose establishing trust by integrating robustness, consistency, and uncertainty-awareness natively within the neural network paradigm. For this purpose, I extract statistics from shifts of neural network representations (second-order representations) and predict the learning difficulty during deployment. The approach is modular and generalizable to applications where deterministic neural networks are deployed.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Establishing Trust in Neural Networks with Representation Shifts"}],"uid":"28475","created_gmt":"2023-03-08 22:58:59","changed_gmt":"2023-03-08 22:58:59","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-03-14T10:00:00-04:00","event_time_end":"2023-03-14T12:00:00-04:00","event_time_end_last":"2023-03-14T12:00:00-04:00","gmt_time_start":"2023-03-14 14:00:00","gmt_time_end":"2023-03-14 16:00:00","gmt_time_end_last":"2023-03-14 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}