Organizers: Aleksander Mądry (Massachusetts Institute of Technology; chair), Samy Bengio (Google), Tengyu Ma (Stanford University)
This workshop will feature an in-depth and comprehensive overview of the core challenges in the theory and practice of deep learning, with a particular emphasis on the four themes of the program: optimization, generalization, robustness, and generative methods. The aim is to expose the attendees to the current frontier of deep learning research, including presenting the "hot off the press" progress made by program participants, industry visitors, and other invited guests.
All events take place in the Calvin Lab auditorium.
Further details about this workshop will be posted in due course. Enquiries may be sent to the organizers workshop-dl1 [at] lists [dot] simons [dot] berkeley [dot] edu (at this address).
Registration is required to attend this workshop. Space may be limited, and you are advised to register early. The link to the registration form will appear on this page approximately 10 weeks before the workshop. To submit your name for consideration, please register and await confirmation of your acceptance before booking your travel.