John Bronskill
8 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
🧬
Topic Evolution
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Computer Vision
(4)
Analysis
(3)
Core Methods
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Paradigms · Machine Learning
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Architectures
(1)
Generation
(1)
Techniques
(1)
Keywords
few-shot learning
(4)
image classification
(2)
continual learning
(1)
multi-task learning
(1)
probabilistic modeling
(1)
variational inference
(1)
transfer learning
(1)
bayesian inference
(1)
object recognition
(1)
probabilistic inference
(1)
style transfer
(1)
batch normalization
(1)
procedural generation
(1)
regression
(1)
memory efficiency
(1)
gradient approximation
(1)
predictive distribution
(1)
few-shot classification
(1)
image stylization
(1)
numerical prediction
(1)
Papers
Stroke Patches: Customizable Artistic Image Styling Using Regression
NeurIPS 2025
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
NeurIPS 2024
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
NeurIPS 2022
Memory Efficient Meta-Learning with Large Images
NeurIPS 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
ICCV 2021
TaskNorm: Rethinking Batch Normalization for Meta-Learning
ICML 2020
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes
NeurIPS 2019
Meta-Learning Probabilistic Inference for Prediction
ICLR 2019