Scott Yak

Publication Activity (10 Years)

Years Active: 2019-2020
Publications (10 Years): 4

Top Topics

Weakly Supervised

Unsupervised Feature Learning

Learning Frameworks

Distributed Architecture

Top Venues

NeurIPS (Competition and Demos)

Publications

Yiding Jiang, Parth Natekar, Manik Sharma, Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam, Carlos Lassance, Daniel M. Roy, Gintare Karolina Dziugaite, Suriya Gunasekar, Isabelle Guyon, Pierre Foret, Scott Yak, Hossein Mobahi, Behnam Neyshabur, Samy Bengio
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. NeurIPS (Competition and Demos) (2020)
Yiding Jiang, Pierre Foret, Scott Yak, Daniel M. Roy, Hossein Mobahi, Gintare Karolina Dziugaite, Samy Bengio, Suriya Gunasekar, Isabelle Guyon, Behnam Neyshabur
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning. CoRR (2020)
Scott Yak, Javier Gonzalvo, Hanna Mazzawi
Towards Task and Architecture-Independent Generalization Gap Predictors. CoRR (2019)
Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri, Corinna Cortes
AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles. CoRR (2019)