Mantas Mazeika

Using Pre-Training Can Improve Model Robustness and Uncertainty

Dan Hendrycks, Kimin Lee, Mantas Mazeika · arXiv (Cornell University) · 2019 · 429 citations · Full text

Artificial Intelligence, Adversarial Robustness, Pre-training +15

Deep Anomaly Detection with Outlier Exposure

Dan Hendrycks, Mantas Mazeika, Thomas G. Dietterich · arXiv (Cornell University) · 2018 · 401 citations · Full text

Natural Language Processing, Anomaly Detection, Machine Learning +14

Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

Dan Hendrycks, Mantas Mazeika, Saurav Kadavath et al. · arXiv (Cornell University) · 2019 · 343 citations · Full text

Artificial Intelligence, Near-distribution Outliers, Engineering +16

Measuring Massive Multitask Language Understanding

Dan Hendrycks, Collin Burns, Steven Basart et al. · International Conference on Learning Representations · 2021 · 331 citations

Llm Fine-tuning, Engineering, Large Language Model +16

Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

Dan Hendrycks, Mantas Mazeika, Saurav Kadavath et al. · Neural Information Processing Systems · 2019 · 269 citations

Artificial Intelligence, Near-distribution Outliers, Engineering +16