Workshop on Learning Data Representation: Hierarchies and Invariance

Workshop on Learning Data Representation: Hierarchies and Invariance
November 22, 2013 - 5:00 am to November 24, 2013 - 5:00 am

The goal of the meeting is to investigate advances and challenges in learning “good representations” from data, in particular representations that can reduce the complexity of later supervised learning stages. The meeting will gather experts in the field to discuss current and future challenges for the theory and applications of learning representations.

Workshop Agenda:

There will be four sessions, each one with a set of talks and a panel discussion:
Session 1: Early Features in Vision
Session 2: Learning Features and Representations
Session 3: Learning Invariances and Hierarchies
Session 4: Beyond Feedforward Architectures

Click here to view Workshop Schedule as a PDF>

Workshop Media:

Videos/slides have been made available online on the workshop webpage.

Presentation slides (kindly made available by all participants) are available on the LSCL Website - links to slides are listed next to the relevant talk description.



November 22, 2013 to November 24, 2013


5:00 am
MIT: McGovern Institute Singleton Auditorium, 46-3002

43 Vassar Street
MIT Bldg 46
Cambridge, 02139
United States