Dan Hendrycks
Meso Scale Discovery (United States)(US)Arizona State University(US)National Patient Safety Foundation(US)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Topic Modeling, Ethics and Social Impacts of AI, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → Gaussian Error Linear Units (GELUs)(2016)3,145 cited
- → A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks(2016)1,615 cited
- → The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization(2021)986 cited
- → Benchmarking Neural Network Robustness to Common Corruptions and\n Perturbations(2019)785 cited
- Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units(2016)
- → Natural Adversarial Examples(2021)722 cited
- → AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty(2019)566 cited