Henry Gouk
Henry Gouk
Assistant Professor, University of Edinburgh
Verified email at - Homepage
Cited by
Cited by
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
H Gouk, E Frank, B Pfahringer, M Cree
Machine Learning 110 (2), 393-416, 2021
How Well Do Self-Supervised Models Transfer?
L Ericsson, H Gouk, TM Hospedales
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Self-supervised representation learning: Introduction, advances, and challenges
L Ericsson, H Gouk, CC Loy, TM Hospedales
IEEE Signal Processing Magazine 39 (3), 42-62, 2022
Shallow bayesian meta learning for real-world few-shot recognition
X Zhang, D Meng, H Gouk, T Hospedales
International Conference on Computer Vision, 2021
Distance-Based Regularisation of Deep Networks for Fine-Tuning
H Gouk, TM Hospedales, M Pontil
International Conference on Learning Representations, 2021
Why do self-supervised models transfer? on the impact of invariance on downstream tasks
L Ericsson, H Gouk, T Hospedales
The 33rd British Machine Vision Conference, 2022, 509, 2022
Fast Sliding Window Classification with Convolutional Neural Networks
HGR Gouk, AM Blake
Proceedings of the 29th International Conference on Image and Vision …, 2014
Learning Distance Metrics for Multi-Label Classification
H Gouk, B Pfahringer, MJ Cree
8th Asian Conference on Machine Learning 63, 318-333, 2016
Loss Function Learning for Domain Generalization by Implicit Gradient
B Gao, H Gouk, Y Yang, T Hospedales
International Conference on Machine Learning, 2022
Deep Clustering with Concrete K-Means
B Gao, Y Yang, H Gouk, TM Hospedales
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
Weight-Covariance Alignment for Adversarially Robust Neural Networks
P Eustratiadis, H Gouk, D Li, T Hospedales
International Conference on Machine Learning, 2021
Searching for Robustness: Loss Learning for Noisy Classification Tasks
B Gao, H Gouk, TM Hospedales
International Conference on Computer Vision, 2021
Stochastic Gradient Trees
H Gouk, B Pfahringer, E Frank
11th Asian Conference on Machine Learning 101, 1094-1109, 2019
An Investigation of Domain Generalization with Rademacher Complexity
D Li, H Gouk, T Hospedales
Comparing high dimensional word embeddings trained on medical text to bag-of-words for predicting medical codes
V Yogarajan, H Gouk, T Smith, M Mayo, B Pfahringer
Intelligent Information and Database Systems: 12th Asian Conference, ACIIDS …, 2020
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification
A El Baz, I Ullah, E Alcobaça, AC Carvalho, H Chen, F Ferreira, H Gouk, ...
NeurIPS 2021 Competitions and Demonstrations Track, 80-96, 2022
Amortised Invariance Learning for Contrastive Self-Supervision
R Chavhan, H Gouk, J Stuehmer, C Heggan, M Yaghoobi, T Hospedales
International Conference on Learning Representations, 2023
MaxGain: Regularisation of neural networks by constraining activation magnitudes
H Gouk, B Pfahringer, E Frank, MJ Cree
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
A Comparison of Machine Learning Methods for Cross-Domain Few-Shot Learning
H Wang, H Gouk, E Frank, B Pfahringer, M Mayo
Australasian Joint Conference on Artificial Intelligence, 2020
Resolving Conflict in Decision-Making for Autonomous Driving
J Geary, S Ramamoorthy, H Gouk
Robotics: Science and Systems, 2021
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