NIPS Proceedingsβ

Yarin Gal

7 Papers

  • BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning (2019)
  • BRUNO: A Deep Recurrent Model for Exchangeable Data (2018)
  • Concrete Dropout (2017)
  • Real Time Image Saliency for Black Box Classifiers (2017)
  • What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? (2017)
  • A Theoretically Grounded Application of Dropout in Recurrent Neural Networks (2016)
  • Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models (2014)