no code implementations • 28 Dec 2023 • Tim G. J. Rudner, Freddie Bickford Smith, Qixuan Feng, Yee Whye Teh, Yarin Gal
Sequential Bayesian inference over predictive functions is a natural framework for continual learning from streams of data.
1 code implementation • 17 Apr 2023 • Freddie Bickford Smith, Andreas Kirsch, Sebastian Farquhar, Yarin Gal, Adam Foster, Tom Rainforth
Information-theoretic approaches to active learning have traditionally focused on maximising the information gathered about the model parameters, most commonly by optimising the BALD score.
no code implementations • 28 Feb 2023 • Tom Rainforth, Adam Foster, Desi R Ivanova, Freddie Bickford Smith
Bayesian experimental design (BED) provides a powerful and general framework for optimizing the design of experiments.
1 code implementation • 8 Jun 2021 • Freddie Bickford Smith, Brett D Roads, Xiaoliang Luo, Bradley C Love
Then on each task we compare the performance of two neural networks, one with top-down attention and one without.
1 code implementation • 22 Feb 2020 • Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love
Is the resulting perceptual boost task-dependent in naturalistic settings?