Ghassen Jerfel
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Machine Learning and Data Classification, Gaussian Processes and Bayesian Inference
Most-Cited Works
- → Underspecification Presents Challenges for Credibility in Modern Machine Learning(2020)430 cited
- → Measuring Calibration in Deep Learning(2019)156 cited
- → A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness(2022)36 cited
- → Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors(2020)33 cited
- Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning(2021)
- → Reconciling meta-learning and continual learning with online mixtures of\n tasks(2018)17 cited
- → Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks(2022)15 cited
- → AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles(2019)13 cited