Course Schedule
The following is a tentative schedule for the Fall 2019 semester.
Date |
Speaker |
Title | Readings & Deliverables |
W 9/4 |
Tomaso Poggio & Course staff
|
Course overview and Projects flash presentations by mentors |
Slides (Tommy Poggio and Daniel Zysman) |
M 9/9 |
No Class | ||
W 9/11 | Course Staff | Projects flash presentations by mentors | Complete project selection form by 9/13 |
M 9/16 | Staff | Project assignments and discussion | Project group assignments |
W 9/18 |
Josh McDermott |
Using Machine Learning to Develop Better Models of Human Hearing | |
M 9/23 |
Atissa Banuazizi | Writing and Communication skills | Slides |
W 9/25 | Gabriel Kreiman |
Beyond first impressions: flexible, reusable visual routines | |
M 9/30 |
Staff |
Proposals review | Project proposal due by 9 PM |
W 10/2 |
Shimon Ullman | The ‘digital baby’: combining learning and innate structures | |
M 10/7 |
Staff | Projects progress update |
|
W 10/9 |
Aude Oliva | Spatiotemporal dynamics of visual recognition in the human brain | |
M 10/14 | Columbus Day (no Class) | ||
W 10/16 |
No Class | ||
M 10/21 | Staff | Projects update | |
W 10/23 |
Milo Philipps-Brown Marion Boulicault | Ethics and AI | |
M 10/28 |
Atissa Banuazizi |
Draft content and strucure | |
W 10/30 | Tommy Poggio | Aspects of a computational theory of intelligence | |
M 11/4 | Atissa Banuazizi | Effective presentations | First Project Draft due |
W 11/6 | Michale Fee | Sequential learning | Paper |
M 11/11 | Veterans Day (No Class) | ||
W 11/13 | Josh Tenenbaum | Building machines that learn and think like people | Paper |
M 11/18 | |||
W 11/20 | Leslie Kaelbling | Learning incremental, compositional models for general-purpose robots. | Paper 1 Paper 2 |
M 11/25 | |||
W 11/27 | Thanksgiving (No Class) | ||
M 12/2 | |||
W 12/4 | Tommy Poggio | Wrap up – overview | |
M 12/9 | Final report due | ||
W 12/11 | Students Presentations |