Henry Gouk

According to our database, Henry Gouk authored at least 41 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose?

Luísa Shimabucoro, Timothy M. Hospedales, Henry Gouk

CoRR, 2023

Amortised Invariance Learning for Contrastive Self-Supervision.

Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales

CoRR, 2023

Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis.

Vithya Yogarajan, Gillian Dobbie, Henry Gouk

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Quality Diversity for Visual Pre-Training.

Ruchika Chavhan, Henry Gouk, Da Li, Timothy M. Hospedales

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months.

Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales

Proceedings of the Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 2023

Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn.

Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Self-Supervised Representation Learning: Introduction, advances, and challenges.

Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales

IEEE Signal Process. Mag., 2022

Attacking Adversarial Defences by Smoothing the Loss Landscape.

Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales

CoRR, 2022

HyperInvariances: Amortizing Invariance Learning.

Ruchika Chavhan, Henry Gouk, Jan Stühmer, Timothy M. Hospedales

CoRR, 2022

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.

Adrian El Baz, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Shell Hu, Frank Hutter, Zhengying Liu, Felix Mohr, Jan N. van Rijn, Xin Wang, Isabelle Guyon

CoRR, 2022

Meta Mirror Descent: Optimiser Learning for Fast Convergence.

Boyan Gao, Henry Gouk, Haebeom Lee, Timothy M. Hospedales

CoRR, 2022

Finding lost DG: Explaining domain generalization via model complexity.

Da Li, Henry Gouk, Timothy M. Hospedales

CoRR, 2022

Loss Function Learning for Domain Generalization by Implicit Gradient.

Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M. Hospedales

Proceedings of the International Conference on Machine Learning, 2022

Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract.

Hongyu Wang, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes

Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer.

Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr

Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks.

Linus Ericsson, Henry Gouk, Timothy M. Hospedales

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Regularisation of neural networks by enforcing Lipschitz continuity.

Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael J. Cree

Mach. Learn., 2021

Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks.

Linus Ericsson, Henry Gouk, Timothy M. Hospedales

CoRR, 2021

Active Altruism Learning and Information Sufficiency for Autonomous Driving.

Jack Geary, Henry Gouk, Subramanian Ramamoorthy

CoRR, 2021

Resolving Conflict in Decision-Making for Autonomous Driving.

Jack Geary, Subramanian Ramamoorthy, Henry Gouk

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.

Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Weight-covariance alignment for adversarially robust neural networks.

Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales

Proceedings of the 38th International Conference on Machine Learning, 2021

Distance-Based Regularisation of Deep Networks for Fine-Tuning.

Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil

Proceedings of the 9th International Conference on Learning Representations, 2021

Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition.

Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Searching for Robustness: Loss Learning for Noisy Classification Tasks.

Boyan Gao, Henry Gouk, Timothy M. Hospedales

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

How Well Do Self-Supervised Models Transfer?

Linus Ericsson, Henry Gouk, Timothy M. Hospedales

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness.

Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales

CoRR, 2020

Resolving Conflict in Decision-Making for Autonomous Driving.

Jack Geary, Henry Gouk

CoRR, 2020

Altruistic Decision-Making for Autonomous Driving with Sparse Rewards.

Jack Geary, Henry Gouk

CoRR, 2020

Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights.

Linus Ericsson, Henry Gouk, Timothy M. Hospedales

CoRR, 2020

Deep Clusteringwith Concrete K-Means.

Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Clustering for Domain Adaptation.

Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Comparison of Machine Learning Methods for Cross-Domain Few-Shot Learning.

Hongyu Wang, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes.

Vithya Yogarajan, Henry Gouk, Tony Smith, Michael Mayo, Bernhard Pfahringer

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019

Deep clustering with concrete k-means.

Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales

CoRR, 2019

Stochastic Gradient Trees.

Henry Gouk, Bernhard Pfahringer, Eibe Frank

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes.

Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2016

Estimating heading direction from monocular video sequences using biologically-based sensors.

Michael J. Cree, John A. Perrone, Gehan Anthonys, Aden C. Garnett, Henry Gouk

Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

Learning Distance Metrics for Multi-Label Classification.

Henry Gouk, Bernhard Pfahringer, Michael J. Cree

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015

Learning Similarity Metrics by Factorising Adjacency Matrices.

Henry Gouk, Bernhard Pfahringer, Michael J. Cree

CoRR, 2015

2014

Fast Sliding Window Classification with Convolutional Neural Networks.

Henry G. R. Gouk, Anthony M. Blake

Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, 2014