Zachary Nado
Publications by Year
Research Areas
Advanced Neural Network Applications, Adversarial Robustness in Machine Learning, Machine Learning and Data Classification, Stochastic Gradient Optimization Techniques, Anomaly Detection Techniques and Applications
Most-Cited Works
- → Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift(2019)651 cited
- → Underspecification Presents Challenges for Credibility in Modern Machine Learning(2020)430 cited
- → On Empirical Comparisons of Optimizers for Deep Learning(2019)185 cited
- → PaLM 2 Technical Report(2023)159 cited
- → Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift(2020)95 cited
- → Plex: Towards Reliability using Pretrained Large Model Extensions(2022)38 cited
- Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning(2021)
- → Revisiting One-vs-All Classifiers for Predictive Uncertainty and\n Out-of-Distribution Detection in Neural Networks(2020)20 cited
- → Pre-trained Gaussian Processes for Bayesian Optimization(2021)15 cited