John Bronskill

According to our database1, John Bronskill authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language.
CoRR, 2024

SportsNGEN: Sustained Generation of Multi-player Sports Gameplay.
CoRR, 2024

2023
On the Efficacy of Differentially Private Few-shot Image Classification.
Trans. Mach. Learn. Res., 2023

FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification.
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.
Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022

2021
FS-Mol: A Few-Shot Learning Dataset of Molecules.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Memory Efficient Meta-Learning with Large Images.
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.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Data and computation efficient meta-learning.
PhD thesis, 2020

TaskNorm: Rethinking Batch Normalization for Meta-Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes.
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.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning.
CoRR, 2018


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