63 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of Texas at AustinUS9 papers
- Cognizant (India)IN5 papers
- Google (United States)US2 papers
- American UniversityUS1 paper
- Autodesk (United States)US1 paper
- Bank IndonesiaID1 paper
- Criteo (France)FR1 paper
- Institut de Recherche en Informatique de ToulouseFR1 paper
- Institute for Exercise and Environmental MedicineUS1 paper
- Institute of Electrical and Electronics EngineersUS1 paper
- Institut Polytechnique de BordeauxFR1 paper
- Ludwig-Maximilians-Universität MünchenDE1 paper
3 papers · 1 filter
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel
Xin Qiu, Elliot Meyerson, Risto Miikkulainen
Neural Networks (NNs) have been extensively used for a wide spectrum of real-world regression tasks, where the goal is to predict a numerical outcome such as revenue, effectiveness…
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
Elliot Meyerson, Risto Miikkulainen
Existing deep multitask learning (MTL) approaches align layers shared between tasks in a parallel ordering. Such an organization significantly constricts the types of shared struct…
Surprising properties of dropout in deep networks
David P. Helmbold, Philip M. Long
We analyze dropout in deep networks with rectified linear units and the quadratic loss. Our results expose surprising differences between the behavior of dropout and more tradition…