John Bronskill

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Probabilistic Inference

Memory Efficient

Image Classification

Top Venues

Publications

Lachlan Thorpe, Lewis Bawden, Karanjot Vendal, John Bronskill, Richard E. Turner
SportsNGEN: Sustained Generation of Multi-player Sports Gameplay. CoRR (2024)
James Requeima, John Bronskill, Dami Choi, Richard E. Turner, David Duvenaud
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language. CoRR (2024)
Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. ICLR (2023)
Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella Béguelin, Richard E. Turner, Antti Honkela
On the Efficacy of Differentially Private Few-shot Image Classification. Trans. Mach. Learn. Res. 2023 (2023)
Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks. ICLR (2023)
Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella Béguelin, Richard E. Turner, Antti Honkela
On the Efficacy of Differentially Private Few-shot Image Classification. CoRR (2023)
Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. CoRR (2022)
Elre T. Oldewage, John Bronskill, Richard E. Turner
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners. ICBINB (2022)
Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. NeurIPS (2022)
Elre T. Oldewage, John Bronskill, Richard E. Turner
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners. CoRR (2022)
Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. CoRR (2022)
Daniela Massiceti, Luisa M. Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition. ICCV (2021)
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
Memory Efficient Meta-Learning with Large Images. CoRR (2021)
Megan Stanley, John Bronskill, Krzysztof Maziarz, Hubert Misztela, Jessica Lanini, Marwin H. S. Segler, Nadine Schneider, Marc Brockschmidt
FS-Mol: A Few-Shot Learning Dataset of Molecules. NeurIPS Datasets and Benchmarks (2021)
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard Turner
Memory Efficient Meta-Learning with Large Images. NeurIPS (2021)
Daniela Massiceti, Luisa M. Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition. CoRR (2021)
John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner
TaskNorm: Rethinking Batch Normalization for Meta-Learning. CoRR (2020)
John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner
TaskNorm: Rethinking Batch Normalization for Meta-Learning. ICML (2020)
Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner
Meta-Learning Probabilistic Inference for Prediction. ICLR (Poster) (2019)
James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes. NeurIPS (2019)
James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes. CoRR (2019)
Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner
Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning. CoRR (2018)