Yarin Gal
Oxford Research Group(GB)University of Oxford(GB)Institute for Security Studies(KE)Science Oxford(GB)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Gaussian Processes and Bayesian Inference, Machine Learning and Algorithms, Machine Learning and Data Classification, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep Learning(2015)4,093 cited
- → Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics(2018)2,700 cited
- → What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?(2017)2,528 cited
- → Inferring the effectiveness of government interventions against COVID-19(2020)1,110 cited
- A theoretically grounded application of dropout in recurrent neural networks(2016)
- → Disease variant prediction with deep generative models of evolutionary data(2021)802 cited
- → Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference(2015)614 cited