263 citations · 280 across the 2 of their papers we have counts for
2 papers
cs.DC2017★ 17 cited
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks
Heng-Tze Cheng, Zakaria Haque, Lichan Hong +12
We present a framework for specifying, training, evaluating, and deploying machine learning models. Our focus is on simplifying cutting edge machine learning for practitioners in o…
cs.LG2016★ 263 cited
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen +13
Generalized linear models with nonlinear feature transformations are widely used for large-scale regression and classification problems with sparse inputs. Memorization of feature…