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 Mądry, MIT |
| 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
- Tina Eliassi-Rad, Northeastern
- Pierre Jacob, Harvard
- Adam Tauman Kalai, Microsoft Research (chair)
- David Sontag, MIT
Poster chairs
- Michael C. Hughes, postdoc, Harvard University
- Christina Lee Yu, postdoc, Microsoft Research
Steering committee
- Carla Brodley, Northeastern University
- Adam Tauman Kalai, Microsoft Research
- Joshua Tenenbaum, Massachusetts Institute of Technology
- Alexander Rush, Harvard University