Sebastian Farquhar
Sebastian Farquhar
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Cited by
Cited by
The malicious use of artificial intelligence: Forecasting, prevention, and mitigation
M Brundage, S Avin, J Clark, H Toner, P Eckersley, B Garfinkel, A Dafoe, ...
arXiv preprint arXiv:1802.07228, 2018
Towards Robust Evaluations of Continual Learning
S Farquhar, Y Gal
arXiv preprint arXiv:1805.09733, 2018
Global Catastrophic Risks
O Cotton-Barratt, S Farquhar, J Halstead, S Schubert, A Snyder-Beattie
Global Challenges Foundation, 2016
A Unifying Bayesian View of Continual Learning
S Farquhar, Y Gal
Bayesian Deep Learning Workshop at NeurIPS arXiv:1902.06494, 2018
Benchmarking Bayesian Deep Learning with Diabetic Retinopathy Diagnosis
A Filos, S Farquhar, AN Gomez, TGJ Rudner, Z Kenton, L Smith, ...
Preprint, 2019
Existential Risk: Diplomacy and Governance
S Farquhar, J Halstead, O Cotton-Barratt, S Schubert, H Belfield, ...
Global Priorities Project, 2017
Radial Bayesian Neural Networks: Robust Variational Inference In Big Models
S Farquhar, M Osborne, Y Gal
Proceedings of the International Conference on Artificial Intelligence and …, 2020
Pricing externalities to balance public risks and benefits of research
S Farquhar, O Cotton-Barratt, A Snyder-Beattie
Health security 15 (4), 401-408, 2017
Try Depth Instead of Weight Correlations: Mean-field is a Less Restrictive Assumption for Variational Inference in Deep Networks
S Farquhar, L Smith, Y Gal
Bayesian Deep Learning Workshop at NeurIPS, 2019
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations
S Farquhar, L Smith, Y Gal
Advances in Neural Information Processing Systems, 2020
On Statistical Bias In Active Learning: How and When To Fix It
S Farquhar, Y Gal, T Rainforth
International Conference on Learning Representations, 2021
Differentially Private Continual Learning
S Farquhar, Y Gal
Privacy in Machine Learning and AI workshop at the International Conference …, 2018
Single Shot Structured Pruning Before Training
J van Amersfoort, M Alizadeh, S Farquhar, N Lane, Y Gal
arXiv preprint arXiv:2007.00389, 2020
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
Z Nado, N Band, M Collier, J Djolonga, MW Dusenberry, S Farquhar, ...
arXiv preprint arXiv:2106.04015, 2021
Active Testing: Sample-Efficient Model Evaluation
J Kossen, S Farquhar, Y Gal, T Rainforth
arXiv preprint arXiv:2103.05331, 2021
BasicNeeds: Scaling Up Mental Health and Development
C Underhill, S Raja, S Farquhar
The Palgrave Handbook of Sociocultural Perspectives on Global Mental Health …, 2017
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