649 citations
- Carnegie Mellon UniversityUS23 papers
- Stanford UniversityUS20 papers
- Google (United States)US14 papers
- Georgia Institute of TechnologyUS13 papers
- Tel Aviv UniversityIL12 papers
- Cornell UniversityUS11 papers
- University of California, BerkeleyUS11 papers
- University College LondonGB10 papers
- Harvard University PressUS9 papers
- Johns Hopkins UniversityUS9 papers
- Massachusetts Institute of TechnologyUS9 papers
- The University of Texas at AustinUS9 papers
Showing 2017 · stat.MLShow all
3 papers · 2 filters
stat.ML2017★ 38 cited
Attribution Modeling Increases Efficiency of Bidding in Display Advertising
Eustache Diemert, Julien Meynet, Pierre Galland +1
Predicting click and conversion probabilities when bidding on ad exchanges is at the core of the programmatic advertising industry. Two separated lines of previous works respective…
stat.ML2017★ 65 cited
Dataset Augmentation in Feature Space
Terrance DeVries, Graham W. Taylor
Dataset augmentation, the practice of applying a wide array of domain-specific transformations to synthetically expand a training set, is a standard tool in supervised learning. Wh…
stat.ML2017★ 357 cited
Towards Principled Methods for Training Generative Adversarial Networks
Martin Arjovsky, Léon Bottou
The goal of this paper is not to introduce a single algorithm or method, but to make theoretical steps towards fully understanding the training dynamics of generative adversarial n…