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Postdoctoral Researcher
,
MLG Cambridge
2020–
Publications
(28)
Meta-Learning Probabilistic Inference for Prediction
International Conference on Learning Representations · 2018
283
cited
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
Neural Information Processing Systems · 2019
260
cited
TaskNorm: Rethinking Batch Normalization for Meta-Learning
International Conference on Machine Learning · 2020
93
cited
FS-Mol: A Few-Shot Learning Dataset of Molecules
NeurIPS Datasets and Benchmarks · 2021
72
cited
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
IEEE International Conference on Computer Vision · 2021
51
cited
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
Neural Information Processing Systems · 2024
42
cited
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
International Conference on Learning Representations · 2022
35
cited
Multidimensional shape description and recognition using mathematical morphology
J. Intell. Robotic Syst. · 1988
27
cited
Versa: Versatile and Efficient Few-shot Learning
2018
22
cited
Memory Efficient Meta-Learning with Large Images
Neural Information Processing Systems · 2021
21
cited
On the Efficacy of Differentially Private Few-shot Image Classification
Trans. Mach. Learn. Res. · 2023
16
cited
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
Neural Information Processing Systems · 2022
13
cited
A knowledge-based approach to the detection, tracking and classification of target formations in infrared image sequences
Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 1989
8
cited
Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning
arXiv.org · 2018
8
cited
Algorithm evaluation for an infrared target-detection test bed
Defense, Security, and Sensing · 1990
5
cited
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
ICBINB · 2022
4
cited
Attacking Few-Shot Classifiers with Adversarial Support Poisoning
2021
3
cited
Detection And Classification Of Target Formations In Infrared Image Sequences
Defense, Security, and Sensing · 1989
3
cited
Data and computation efficient meta-learning
2020
2
cited
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
International Conference on Learning Representations · 2023
2
cited
Show all 28 papers →
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John Bronskill | Researcher Profile | Sotabase | Sotabase