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Sebastian Farquhar
Sebastian Farquhar
Verified email at balliol.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
6172018
Towards Robust Evaluations of Continual Learning
S Farquhar, Y Gal
arXiv preprint arXiv:1805.09733, 2018
1902018
Benchmarking Bayesian Deep Learning with Diabetic Retinopathy Diagnosis
A Filos, S Farquhar, AN Gomez, TGJ Rudner, Z Kenton, L Smith, ...
Preprint, 2019
71*2019
A Unifying Bayesian View of Continual Learning
S Farquhar, Y Gal
Bayesian Deep Learning Workshop at NeurIPS arXiv:1902.06494, 2018
462018
Global Catastrophic Risks
O Cotton-Barratt, S Farquhar, J Halstead, S Schubert, A Snyder-Beattie
Global Challenges Foundation, 2016
45*2016
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
44*2020
Existential Risk: Diplomacy and Governance
S Farquhar, J Halstead, O Cotton-Barratt, S Schubert, H Belfield, ...
Global Priorities Project, 2017
29*2017
On Statistical Bias In Active Learning: How and When To Fix It
S Farquhar, Y Gal, T Rainforth
International Conference on Learning Representations, 2021
242021
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
232020
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
222021
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
11*2017
Single Shot Structured Pruning Before Training
J van Amersfoort, M Alizadeh, S Farquhar, N Lane, Y Gal
arXiv preprint arXiv:2007.00389, 2020
102020
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
7*2019
Differentially Private Continual Learning
S Farquhar, Y Gal
Privacy in Machine Learning and AI workshop at the International Conference …, 2018
72018
Active Testing: Sample-Efficient Model Evaluation
J Kossen, S Farquhar, Y Gal, T Rainforth
International Conference on Machine Learning, 2021
62021
A Simple Baseline for Batch Active Learning with Stochastic Acquisition Functions
A Kirsch, S Farquhar, Y Gal
arXiv preprint arXiv:2106.12059, 2021
42021
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
M Alizadeh, SA Tailor, LM Zintgraf, J van Amersfoort, S Farquhar, ...
International Conference on Learning Representations, 2022
32022
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt
S Mindermann, JM Brauner, MT Razzak, M Sharma, A Kirsch, W Xu, ...
International Conference on Machine Learning, 15630-15649, 2022
12022
Path-Specific Objectives for Safer Agent Incentives
S Farquhar, R Carey, T Everitt
AAAI, 2022
12022
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation
J Kossen, S Farquhar, Y Gal, T Rainforth
arXiv preprint arXiv:2202.06881, 2022
2022
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