B
Workshop Agenda
DAY 1: DECEMBER 11, 2018
Session 1: Plenary
8:00 AM | Sponsor Remarks and Expectations of the Workshop |
David M. Isaacson, Office of the Director of National Intelligence | |
8:15 | Generation of Capability Technology Matrix Tables |
Rama Chellappa, Planning Committee Chair, University of Maryland, College Park | |
George Coyle, Study Director, Intelligence Community Studies Board, National Academies of Sciences, Engineering, and Medicine | |
8:30 | Recent Advances in Machine Learning |
Michael Jordan, University of California, Berkeley | |
9:30 | Machine Learning on Perception: Hype vs. Hope |
Ruzena Bajcsy, University of California, Berkeley | |
10:30 | Break |
Session 2: Adversarial Attacks
11:00 | Media Forensics |
Matthew Turek, Defense Advanced Research Projects Agency | |
11:45 | Forensic Techniques |
Hany Farid, Dartmouth College |
12:30 PM | Lunch |
Session 3: Detection and Mitigation of Adversarial Attacks and Anomalies
1:30 | Joysula Rao, IBM Corporation |
2:15 | Circumventing Defenses to Adversarial Examples |
Anish Athalye, Massachusetts Institute of Technology | |
3:00 | Break |
Session 4: Enablers of Machine Learning Algorithms and Systems
3:30 | Impact of Neuroscience on Data Science for Perception |
John Tsotsos, York University, Canada | |
5:30 | Capability Technology Matrix Tables Preparation |
6:00 | Adjourn for the Day |
DAY 2: DECEMBER 12, 2018
8:00 AM | Sponsor Remarks |
David M. Isaacson, Office of the Director of National Intelligence |
Session 5: Recent Trends in Machine Learning—1
8:15 | On Open Set and Adversarial Issues in Machine Learning |
Terry Boult, University of Colorado, Colorado Springs | |
9:00 | GANs for Domain Adaptation and Security Against Attacks |
Rama Chellappa, University of Maryland, College Park | |
9:45 | Break |
Session 6: Recent Trends in Machine Learning—2
10:00 | Recent Advances in Optimization for Machine Learning |
Tom Goldstein, University of Maryland | |
10:45 | Forecasting Using Machine Learning |
Aram Galstyan, Information Sciences Institute, University of Southern California |
Session 7: Plenary Session
11:30 | Plenary Talk |
Dawn Song, University of California, Berkeley | |
12:30 PM | Lunch |
Session 8: Recent Trends in Machine Learning—3
1:30 | Domain Adaptation |
Judy Hoffman, Georgia Institute of Technology | |
2:15 | Explainable Machine Learning |
Anna Rohrbach, University of California, Berkeley | |
3:00 | Break |
Session 9: Machine Learning System
3:15 | Building Domain-Specific Knowledge with Human-in-the-Loop |
Yunyao Li, IBM Corporation | |
4:00 | Robust Design of Machine Learning Systems |
Anthony Hoogs, Kitware, Inc. |
Session 10: Capability Technology Matrix Tables
4:45 | Discussion on Preparing the Capability Technology Matrix Tables |
5:30 | Adjourn Workshop |