Sebastian Farquhar
Orcid: 0000-0002-9185-6415
According to our database1,
Sebastian Farquhar
authored at least 34 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Nat., June, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Trans. Mach. Learn. Res., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
CoRR, 2022
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Prioritized training on points that are learnable, worth learning, and not yet learned.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Try Depth Instead of Weight Correlations: Mean-field is a Less Restrictive Assumption for Deeper Networks.
CoRR, 2020
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks.
CoRR, 2019
CoRR, 2019
2018
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation.
CoRR, 2018