Portrait on green background, header for New England Machine Learning Day event page
May 7, 2018

New England Machine Learning Day 2018

Location: Cambridge, MA

Venue:

Microsoft Research New England
Horace Mann Conference Room
One Memorial Drive
Cambridge, MA 02142

Registration is now closed. We hope to see you next year!

The seventh annual New England Machine Learning Day will take place Monday, May 7, 2018, 10 AM–5 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.

Also, consider joining a very worthwhile hackathon on June 11: New England Machine Learning for Accessibility and Neurodiversity.

Schedule

Time Session
9:55am – 10:00am
Opening remarks
10:00am – 10:30am

Aleksander MÄ…dry, MIT
Towards ML You Can Rely On

10:35am – 11:05am Alexandra Meliou, UMass Amherst
Fairness testing: A systems’ perspective on algorithmic bias
11:10am – 11:40am Vivienne Sze, MIT
Energy-Efficient Deep Learning for Mobile Applications
11:40pm – 1:20pm Lunch and posters
1:20pm – 2:15pm Provocative Panel, Tina Eliassi-Rad (moderator)
Panelists: Carla Brodley, Northeastern, Rania Khalaf, IBM, Michael Littman, Brown, Lester Mackey, MSR, and Josh Tenenbaum, MIT
2:20pm – 2:50pm Daniel Ritchie, Brown
Learning Procedural Modeling Programs for Computer Graphics from Examples
2:50pm – 3:20pm Coffee break
3:20pm – 3:50pm Kate Saenko, Boston University
Adversarial Techniques for Visual Domain Adaptation
3:55pm – 4:25pm Byron Wallace, Northeastern
Training Neural NLP Models in Minimally Supervised Settings
4:30pm – 5:00pm Lucas Janson, Harvard University
Knockoffs: using machine learning for statistically-rigorous variable selection in nonparametric models

 

Organizing committee

Poster chairs

Steering committee

  • Carla Brodley, Northeastern University
  • Adam Tauman Kalai, Microsoft Research
  • Joshua Tenenbaum, Massachusetts Institute of Technology
  • Alexander Rush, Harvard University

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