{"660306":{"#nid":"660306","#data":{"type":"news","title":"Neural Network Research from ECE\u2019s GREEN Lab Receives Top Recognition","body":[{"value":"\u003Cp\u003EGeorgia Tech researchers in the Gigascale Reliable Energy-Efficient Nanosystem (GREEN) Lab have received the Best Paper Award at the 2022 IEEE International Joint Conference on Neural Networks (IJCNN 2022).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe award-winning paper titled \u0026ldquo;Lightweight Model Uncertainty Estimation for Deep Neural Object Detection\u0026rdquo; was authored by Minah Lee, a Ph.D. candidate, Dr. Burhan Mudassar, a recent Ph.D. graduate from GREEN lab who is currently at Samsung, and Dr. Saibal Mukhopadhyay, a Joseph M. Pettit Professor in Tech\u0026rsquo;s School of Electrical and Computer Engineering.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe purpose of the paper is to quantify model uncertainty for real time reliable object detection. Model uncertainty helps to understand the reliability of a deep neural network (DNN), but its estimation usually requires a huge computational cost from stochastic DNN. This work introduced a deterministic DNN that distills the knowledge of stochastic DNN for probabilistic object detection and quantifies model uncertainty with 38-179 times reduced computational cost.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Mukhopadhyay, the paper is a great recognition of Lee\u0026rsquo;s PhD research on making machine learning more reliable and trustworthy while ensuring fast real-time inference. This paper on lightweight uncertainty estimation for deep neural network models is an important step towards that direction. The paper was based on the work supported by the Defense Advanced Research Projects Agency (DARPA) Reconfigurable Imaging (ReImagine) program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMore than 1,000 papers were presented at the IJCNN 2022, a premier \u0026mdash; and one of the oldest \u0026mdash; IEEE conferences in neural network research. This year, IJCNN was part of the IEEE World Congress in Computational Intelligence (WCCI 2022) held in Padova, Italy from July 18-23. The WCCI 2022 is the world\u0026rsquo;s largest technical event on computational intelligence, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: IJCNN 2022, the 2022 IEEE International Conference on Fuzzy Systems, and the 2022 IEEE Congress on Evolutionary Computation.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The award-winning team includes Minah Lee, Saibal Mukhopadhyay, and Burhan Mudassar."}],"uid":"36172","created_gmt":"2022-08-18 13:29:19","changed_gmt":"2022-08-18 13:29:19","author":"dwatson71","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-08-18T00:00:00-04:00","iso_date":"2022-08-18T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"660305":{"id":"660305","type":"image","title":"Minah Lee, Saibal Mukhopadhyay, and Burhan Mudassar.","body":null,"created":"1660829089","gmt_created":"2022-08-18 13:24:49","changed":"1660829089","gmt_changed":"2022-08-18 13:24:49","alt":"The award-winning team (L-R): Minah Lee, Saibal Mukhopadhyay, and Burhan Mudassar.","file":{"fid":"250231","name":"IJCNN 2022_Best Paper Award_Graphic.jpg","image_path":"\/sites\/default\/files\/images\/IJCNN%202022_Best%20Paper%20Award_Graphic.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/IJCNN%202022_Best%20Paper%20Award_Graphic.jpg","mime":"image\/jpeg","size":873692,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/IJCNN%202022_Best%20Paper%20Award_Graphic.jpg?itok=mxUzhp35"}}},"media_ids":["660305"],"related_links":[{"url":"https:\/\/greenlab.ece.gatech.edu","title":"Gigascale Reliable Energy-Efficient Nanosystem (GREEN) Lab"},{"url":"https:\/\/wcci2022.org","title":"IEEE International Joint Conference on Neural Networks"},{"url":"https:\/\/www.ece.gatech.edu\/faculty-staff-directory\/saibal-mukhopadhyay","title":"Saibal Mukhopadhyay"}],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"},{"id":"145","name":"Engineering"}],"keywords":[{"id":"183927","name":"Gigascale Reliable Energy-Efficient Nanosystem (GREEN) Lab"},{"id":"191092","name":"IEEE International Joint Conference on Neural Networks"},{"id":"191093","name":"Minah Lee"},{"id":"191094","name":"Burhan Mudassar"},{"id":"166900","name":"Saibal Mukhopadhyay"},{"id":"191095","name":"Deep Neural Object Detection"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EDan Watson\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:dwatson@ece.gatech.edu\u0022\u003Edwatson@ece.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["dwatson@ece.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}