Jacob Steinhardt
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Machine Learning and Algorithms, Topic Modeling, Anomaly Detection Techniques and Applications, Machine Learning and Data Classification
Most-Cited Works
- → The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization(2021)986 cited
- → Natural Adversarial Examples(2021)722 cited
- → The malicious use of artificial intelligence: Forecasting, prevention, and mitigation(2018)525 cited
- → Certified Defenses against Adversarial Examples(2018)339 cited
- Measuring Massive Multitask Language Understanding(2021)
- → Measuring Mathematical Problem Solving With the MATH Dataset(2021)272 cited
- → Learning from untrusted data(2017)220 cited