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Scott Yak

3 papers hereh-index 5135 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedNeurIPS 2020 Competition: Predicting Generalization in Deep Learning

22 citations · 44 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

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…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.