Sebastian Farquhar
Publications by Year
Research Areas
Machine Learning and Data Classification, Machine Learning and Algorithms, Adversarial Robustness in Machine Learning, Gaussian Processes and Bayesian Inference, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → The malicious use of artificial intelligence: Forecasting, prevention, and mitigation(2018)525 cited
- → Detecting hallucinations in large language models using semantic entropy(2024)491 cited
- → Towards Robust Evaluations of Continual Learning(2018)185 cited
- → A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks(2019)73 cited
- → Model evaluation for extreme risks(2023)54 cited
- → Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation(2023)49 cited
- → A Unifying Bayesian View of Continual Learning(2019)48 cited
- Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning(2021)
- → On Statistical Bias In Active Learning: How and When To Fix It(2021)24 cited