John Bronskill

According to our database, John Bronskill authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language.

James Requeima, John Bronskill, Dami Choi, Richard E. Turner, David Duvenaud

CoRR, 2024

SportsNGEN: Sustained Generation of Multi-player Sports Gameplay.

Lachlan Thorpe, Lewis Bawden, Karanjot Vendal, John Bronskill, Richard E. Turner

CoRR, 2024

2023

On the Efficacy of Differentially Private Few-shot Image Classification.

Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella Béguelin, Richard E. Turner, Antti Honkela

Trans. Mach. Learn. Res., 2023

FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification.

Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks.

Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification.

Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners.

Elre T. Oldewage, John Bronskill, Richard E. Turner

Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022

2021

FS-Mol: A Few-Shot Learning Dataset of Molecules.

Megan Stanley, John Bronskill, Krzysztof Maziarz, Hubert Misztela, Jessica Lanini, Marwin H. S. Segler, Nadine Schneider, Marc Brockschmidt

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Memory Efficient Meta-Learning with Large Images.

John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition.

Daniela Massiceti, Luisa M. Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Data and computation efficient meta-learning.

John Bronskill

PhD thesis, 2020

TaskNorm: Rethinking Batch Normalization for Meta-Learning.

John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes.

James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Meta-Learning Probabilistic Inference for Prediction.

Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning.

Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner

CoRR, 2018