Mantas Mazeika
Meso Scale Discovery (United States)(US)National Patient Safety Foundation(US)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Physical Unclonable Functions (PUFs) and Hardware Security, Advanced Malware Detection Techniques, Anomaly Detection Techniques and Applications, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → Using Pre-Training Can Improve Model Robustness and Uncertainty(2019)429 cited
- → Deep Anomaly Detection with Outlier Exposure(2018)401 cited
- → Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty(2019)343 cited
- Measuring Massive Multitask Language Understanding(2021)
- → Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe\n Noise(2018)312 cited
- → Scaling Out-of-Distribution Detection for Real-World Settings(2019)179 cited
- → GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow(2021)137 cited