Henry Gouk
15 papers · 2016–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (45) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Topic Evolution
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Keyword Collector
(66)
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Trend Setter
💎
Century Club · Bronze
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The Questioner
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Prolific Year · Productive
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Research topics
Machine Learning
(11)
Deep Learning
(7)
Artificial Intelligence
(6)
Core Methods
(5)
Learning Types · Machine Learning
(5)
Optimization & Theory
(5)
Computer Vision
(4)
Learning Types · Deep Learning
(4)
Application Areas
(3)
Learning Paradigms · Artificial Intelligence
(3)
Analysis
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
Learning Paradigms · Machine Learning
(2)
Models
(2)
Keywords
few-shot learning
(4)
transfer learning
(4)
representation learning
(3)
loss function
(3)
self-supervised learning
(2)
generalization bound
(2)
multi-label classification
(1)
domain generalization
(1)
semantic segmentation
(1)
object detection
(1)
model fusion
(1)
fairness
(1)
multi-instance learning
(1)
autonomous driving
(1)
task generalization
(1)
game theory
(1)
model merging
(1)
neural network optimization
(1)
incremental learning
(1)
pose estimation
(1)
Papers
A Sobering Look at Tabular Data Generation via Probabilistic Circuits
UAI 2026
Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning
UAI 2026
Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation
CVPR 2026
Skin Malignancy Classification Using Patients’ Skin Images and Meta-data: Multimodal Fusion for Improving Fairness
MIDL 2024
Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
CVPR 2023
Quality Diversity for Visual Pre-Training
ICCV 2023
Loss Function Learning for Domain Generalization by Implicit Gradient
ICML 2022
Distance-Based Regularisation of Deep Networks for Fine-Tuning
ICLR 2021
How Well Do Self-Supervised Models Transfer?
CVPR 2021
Resolving Conflict in Decision-Making for Autonomous Driving
RSS 2021
Searching for Robustness: Loss Learning for Noisy Classification Tasks
ICCV 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
ICCV 2021
Weight-covariance alignment for adversarially robust neural networks
ICML 2021
Stochastic Gradient Trees
ACML 2019
Learning Distance Metrics for Multi-Label Classification
ACML 2016