22 citations · 44 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 22 cited
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
Yiding Jiang, Pierre Foret, Scott Yak +7
Understanding generalization in deep learning is arguably one of the most important questions in deep learning. Deep learning has been successfully adopted to a large number of pro…
stat.ML2019★ 9 cited
Towards Task and Architecture-Independent Generalization Gap Predictors
Scott Yak, Javier Gonzalvo, Hanna Mazzawi
Can we use deep learning to predict when deep learning works? Our results suggest the affirmative. We created a dataset by training 13,500 neural networks with different architectu…
cs.LG2019★ 13 cited
AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles
Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov +9
AdaNet is a lightweight TensorFlow-based (Abadi et al., 2015) framework for automatically learning high-quality ensembles with minimal expert intervention. Our framework is inspire…