We anticipate that the transition from experimental mystery to rigorous resolution will occur in multiple stages, one of which should involve bringing together diverse groups working toward seemingly different goals. While on the surface, the goals of the practitioner and theoretician may not appear to be aligned, a collaboration between the two has great potential to further both agendas in the long run. The goal of this workshop is to support the transition to such collaboration.
The workshop will take place on Sat Dec 14th 2019, room West 121 + 122 in Canada Place, Vancouver.
08:00 - 08:15 Welcoming remarks and introduction (video)
08:15 - 09:45 Session 1 - Theory
08:15-08:35 Surya Ganguli An analytic theory of generalization dynamics and transfer learning in deep linear networks (video)
08:35-08:55 Yasaman Bahri Tractable limits for deep networks: an overview of the large width regime (video)
08:55-09:15 Florent Krzakala Learning with "realistic" synthetic data (video)
09:15-09:45 Theory Panel Discussion: Surya Ganguli, Yasaman Bahri, Florent Krzakala (video)
Moderator: Lenka Zdeborova
09:45 - 10:30 Coffee break and posters
10:30 - 12:00 Session 2 - Vision
10:30-10:50 Carl Doersch Self-supervised visual representation learning: putting patches into context
10:50-11:10 Raquel Urtasun Science and Engineering for Self-driving
11:10-11:30 Sanja Fidler TBA
11:30-12:00 Vision Panel Discussion: Raquel Urtasun,Carl Doersch, Sanja Fidler
Moderator: Natalia Neverova
12:00 - 14:00 Lunch break and posters
14:00 - 15:30 Session 3 - Further Applications
14:00-14:20 Douwe Kiela Benchmarking Progress in AI: A New Benchmark for Natural Language Understanding (video)
14:20-14:40 Audrey Durand Trading off theory and practice: A bandit perspective (video)
14:40-15:00 Kamalika Chaudhuri A Three Sample Test to Detect Data Copying in Generative Models (video)
15:00-15:30 Further Applications Panel Discussion: Audrey Durand, Douwe Kiela, Kamalika Chaudhuri (video)
Moderator: Yann Dauphin
15:30 - 16:15 Coffee break and posters
16:15 - 17:10 Panel - The Role of Communication at Large
Aparna Lakshmiratan, Jason Yosinski, Been Kim, Surya Ganguli, Finale Doshi-Velez (video)
Moderator: Zack Lipton
17:10 - 18:00 Contributed Session - Spotlight Submissions
17:10 - 17:20 Non-Gaussian Processes and Neural Networks at Finite Widths, Sho Yaida (Facebook AI Research) (video)
17:20 - 17:30 Training Batchnorm and Only Batchnorm, Jonathan Frankle (MIT); David J Schwab (ITS, CUNY Graduate Center); Ari S Morcos (Facebook AI Research (FAIR)) (video)
17:30 - 17:40 Asymptotics of Wide Networks from Feynman Diagrams, Guy Gur-Ari (Google); Ethan Dyer (Google) (video)
17:40 - 17:50 Fantastic Generalization Measures and Where to Find Them, YiDing Jiang (Google); Behnam Neyshabur (Google); Dilip Krishnan (Google); Hossein Mobahi (Google Research); Samy Bengio (Google Research, Brain Team) (video)
17:50 - 18:00 Complex Transformer: A Framework for Modeling Complex-Valued Sequence, Martin Ma (Carnegie Mellon University); Muqiao Yang (Carnegie Mellon University); Dongyu Li (Carnegie Mellon University); Yao-Hung Tsai (Carnegie Mellon University); Ruslan Salakhutdinov (Carnegie Mellon University) (video)
Contributed Session - Spotlight Submissions
Complex Transformer: A Framework for Modeling Complex-Valued Sequence, Martin Ma (Carnegie Mellon University); Muqiao Yang (Carnegie Mellon University); Dongyu Li (Carnegie Mellon University); Yao-Hung Tsai (Carnegie Mellon University); Ruslan Salakhutdinov (Carnegie Mellon University)
Non-Gaussian Processes and Neural Networks at Finite Widths, Sho Yaida (Facebook AI Research)
Asymptotics of Wide Networks from Feynman Diagrams, Guy Gur-Ari (Google); Ethan Dyer (Google)
Fantastic Generalization Measures and Where to Find Them, YiDing Jiang (Google); Behnam Neyshabur (Google); Dilip Krishnan (Google); Hossein Mobahi (Google Research); Samy Bengio (Google Research, Brain Team)
Training Batchnorm and Only Batchnorm, Jonathan Frankle (MIT); David J Schwab (ITS, CUNY Graduate Center); Ari S Morcos (Facebook AI Research (FAIR))
Contributed talks abstract can be found here.
Contributed Posters and Reviewers
A detailed list of contributed posters can be found here.
We would like to thank our reviewers who helped us to choose the papers for our workshop.
Advisors
Theory Session advisors: Joan Bruna, Adji Bousso Dieng
Vision Session advisors: Ilija Radosavovic, Riza Alp Guler
Further Applications Session advisors: Dilan Gorur, Orhan Firat
Panel advisors: Michela Paganini, Anima Anandkumar