ML Anthology

Bronskill, John

7 publications

NeurIPS 2024 LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language James Requeima, John Bronskill, Dami Choi, Richard E. Turner, David Duvenaud
NeurIPS 2022 Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard Turner
NeurIPS 2021 Memory Efficient Meta-Learning with Large Images John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard Turner
ICCV 2021 ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
ICML 2020 TaskNorm: Rethinking Batch Normalization for Meta-Learning John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard Turner
NeurIPS 2019 Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E Turner
ICLR 2019 Meta-Learning Probabilistic Inference for Prediction Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard Turner