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ORCIDFreddie Bickford Smith
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2020 – today
- 2024
[c3]Freddie Bickford Smith, Adam Foster, Tom Rainforth:
Making Better Use of Unlabelled Data in Bayesian Active Learning. AISTATS 2024: 847-855- [i6]Freddie Bickford Smith, Adam Foster, Tom Rainforth:
Making Better Use of Unlabelled Data in Bayesian Active Learning. CoRR abs/2404.17249 (2024) - 2023
- [c2]Freddie Bickford Smith, Andreas Kirsch, Sebastian Farquhar, Yarin Gal, Adam Foster, Tom Rainforth:
Prediction-Oriented Bayesian Active Learning. AISTATS 2023: 7331-7348 - [i5]Tom Rainforth, Adam Foster, Desi R. Ivanova, Freddie Bickford Smith:
Modern Bayesian Experimental Design. CoRR abs/2302.14545 (2023) - [i4]Freddie Bickford Smith, Andreas Kirsch, Sebastian Farquhar, Yarin Gal, Adam Foster, Tom Rainforth:
Prediction-Oriented Bayesian Active Learning. CoRR abs/2304.08151 (2023) - [i3]Tim G. J. Rudner, Freddie Bickford Smith, Qixuan Feng, Yee Whye Teh, Yarin Gal:
Continual Learning via Sequential Function-Space Variational Inference. CoRR abs/2312.17210 (2023) - 2022
- [c1]Tim G. J. Rudner, Freddie Bickford Smith, Qixuan Feng, Yee Whye Teh, Yarin Gal:
Continual Learning via Sequential Function-Space Variational Inference. ICML 2022: 18871-18887 - 2021
- [i2]Freddie Bickford Smith, Brett D. Roads, Xiaoliang Luo, Bradley C. Love:
Understanding top-down attention using task-oriented ablation design. CoRR abs/2106.11339 (2021) - 2020
- [i1]Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love:
The perceptual boost of visual attention is task-dependent in naturalistic settings. CoRR abs/2003.00882 (2020)
Coauthor Index
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