{"id":452088,"date":"2017-12-29T09:11:56","date_gmt":"2017-12-29T17:11:56","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=452088"},"modified":"2023-04-12T15:40:56","modified_gmt":"2023-04-12T22:40:56","slug":"new-england-machine-learning-day-2018","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2018\/","title":{"rendered":"New England Machine Learning Day 2018"},"content":{"rendered":"

Venue:<\/strong><\/p>\n

Microsoft Research New England<\/a>
\nHorace Mann Conference Room
\nOne Memorial Drive
\nCambridge, MA 02142<\/p>\n

Registration is now closed. We hope to see you next year!<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

The seventh annual New England Machine Learning Day will happen Monday, May 7, 2018, at Microsoft Research New England, One Memorial Drive, Cambridge, MA 02142. The event will bring together local academics and researchers in Machine Learning, Artificial Intelligence, and their applications. <\/p>\n","protected":false},"featured_media":381722,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"msr_startdate":"2018-05-07","msr_enddate":"2018-05-07","msr_location":"Cambridge, MA","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"footnotes":""},"research-area":[13556],"msr-region":[197900],"msr-event-type":[197944],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-452088","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-region-north-america","msr-event-type-hosted-by-microsoft","msr-locale-en_us"],"msr_about":"Venue:<\/strong>\r\n\r\nMicrosoft Research New England<\/a>\r\nHorace Mann Conference Room\r\nOne Memorial Drive\r\nCambridge, MA 02142\r\n\r\nRegistration is now closed. We hope to see you next year!<\/strong>","tab-content":[{"id":0,"name":"About","content":"The seventh annual New England Machine Learning Day will take place Monday, May 7, 2018, 10 AM\u20135 PM at Microsoft Research New England, One Memorial Drive, Cambridge, MA 02142. The event will bring together local academics and researchers in machine learning, artificial intelligence, and their application. There will be a lively poster session during lunch, followed by a provocative panel.\r\n\r\nAlso, consider joining a very worthwhile hackathon on June 11: New England Machine Learning for Accessibility and Neurodiversity<\/a>.\r\n

Schedule<\/h2>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Time<\/strong><\/th>\r\nSession<\/strong><\/th>\r\n<\/tr>\r\n<\/thead>\r\n
\r\n
9:55am \u2013 10:00am<\/div><\/td>\r\n
\r\n
Opening remarks<\/div><\/td>\r\n<\/tr>\r\n
\r\n
10:00am \u2013 10:30am<\/div><\/td>\r\n
\r\n
10:35am \u2013 11:05am<\/td>\r\nAlexandra Meliou<\/a>,\u00a0UMass Amherst\r\nFairness testing: A systems\u2019 perspective on algorithmic bias<\/td>\r\n<\/tr>\r\n
11:10am \u2013 11:40am<\/td>\r\nVivienne Sze<\/a>,\u00a0MIT\r\nEnergy-Efficient Deep Learning for Mobile Applications<\/td>\r\n<\/tr>\r\n
11:40pm \u2013 1:20pm<\/td>\r\nLunch and posters<\/td>\r\n<\/tr>\r\n
1:20pm \u2013 2:15pm<\/td>\r\nProvocative Panel, Tina Eliassi-Rad (moderator)\r\nPanelists: Carla Brodley, Northeastern, Rania Khalaf, IBM, Michael Littman, Brown, Lester Mackey, MSR, and Josh Tenenbaum, MIT<\/td>\r\n<\/tr>\r\n
2:20pm \u2013 2:50pm<\/td>\r\nDaniel Ritchie<\/a>, Brown\r\nLearning Procedural Modeling Programs for Computer Graphics from Examples<\/td>\r\n<\/tr>\r\n
2:50pm \u2013 3:20pm<\/td>\r\nCoffee break<\/td>\r\n<\/tr>\r\n
3:20pm \u2013 3:50pm<\/td>\r\nKate Saenko<\/a>, Boston University\r\nAdversarial Techniques for Visual Domain Adaptation<\/td>\r\n<\/tr>\r\n
3:55pm \u2013 4:25pm<\/td>\r\nByron Wallace<\/a>, Northeastern\r\nTraining Neural NLP Models in Minimally Supervised Settings<\/td>\r\n<\/tr>\r\n
4:30pm \u2013 5:00pm<\/td>\r\nLucas Janson<\/a>, Harvard University\r\nKnockoffs: using machine learning for statistically-rigorous variable selection in nonparametric models<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n \r\n

Organizing committee<\/h2>\r\n