Henry Gouk

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 51

Top Topics

Qualitative Analysis

Lipschitz Continuity

Stochastic Gradient

Top Venues

Publications

Vithya Yogarajan, Gillian Dobbie, Henry Gouk
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. Tiny Papers @ ICLR (2023)
Ruchika Chavhan, Henry Gouk, Da Li, Timothy M. Hospedales
Quality Diversity for Visual Pre-Training. ICCV (2023)
Vithya Yogarajan, Gillian Dobbie, Henry Gouk
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. CoRR (2023)
Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. CoRR (2023)
Luísa Shimabucoro, Timothy M. Hospedales, Henry Gouk
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? CoRR (2023)
Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CVPR (2023)
Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales
Amortised Invariance Learning for Contrastive Self-Supervision. CoRR (2023)
Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. ICBINB (2023)
Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CoRR (2023)
Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M. Hospedales
Loss Function Learning for Domain Generalization by Implicit Gradient. ICML (2022)
Ruchika Chavhan, Henry Gouk, Jan Stühmer, Timothy M. Hospedales
HyperInvariances: Amortizing Invariance Learning. CoRR (2022)
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
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR (2022)
Hongyu Wang, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes
Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr
Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales
Self-Supervised Representation Learning: Introduction, advances, and challenges. IEEE Signal Process. Mag. 39 (3) (2022)
Da Li, Henry Gouk, Timothy M. Hospedales
Finding lost DG: Explaining domain generalization via model complexity. CoRR (2022)
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks. BMVC (2022)
Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
Attacking Adversarial Defences by Smoothing the Loss Landscape. CoRR (2022)
Boyan Gao, Henry Gouk, Haebeom Lee, Timothy M. Hospedales
Meta Mirror Descent: Optimiser Learning for Fast Convergence. CoRR (2022)
Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. CoRR (2021)
Boyan Gao, Henry Gouk, Timothy M. Hospedales
Searching for Robustness: Loss Learning for Noisy Classification Tasks. CoRR (2021)
Jack Geary, Subramanian Ramamoorthy, Henry Gouk
Resolving Conflict in Decision-Making for Autonomous Driving. Robotics: Science and Systems (2021)
Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
Weight-covariance alignment for adversarially robust neural networks. ICML (2021)
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
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS (Competition and Demos) (2021)
Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales
Self-Supervised Representation Learning: Introduction, Advances and Challenges. CoRR (2021)
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
How Well Do Self-Supervised Models Transfer? CVPR (2021)
Jack Geary, Henry Gouk, Subramanian Ramamoorthy
Active Altruism Learning and Information Sufficiency for Autonomous Driving. CoRR (2021)
Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael J. Cree
Regularisation of neural networks by enforcing Lipschitz continuity. Mach. Learn. 110 (2) (2021)
Boyan Gao, Henry Gouk, Timothy M. Hospedales
Searching for Robustness: Loss Learning for Noisy Classification Tasks. ICCV (2021)
Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil
Distance-Based Regularisation of Deep Networks for Fine-Tuning. ICLR (2021)
Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. ICCV (2021)
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks. CoRR (2021)
Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness. CoRR (2020)
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
How Well Do Self-Supervised Models Transfer? CoRR (2020)
Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
Deep Clusteringwith Concrete K-Means. ICASSP (2020)
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights. CoRR (2020)
Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil
Distance-Based Regularisation of Deep Networks for Fine-Tuning. CoRR (2020)
Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
Deep Clustering for Domain Adaptation. ICASSP (2020)
Vithya Yogarajan, Henry Gouk, Tony Smith, Michael Mayo, Bernhard Pfahringer
Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes. ACIIDS (1) (2020)
Hongyu Wang, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo
A Comparison of Machine Learning Methods for Cross-Domain Few-Shot Learning. Australasian Conference on Artificial Intelligence (2020)
Jack Geary, Henry Gouk
Altruistic Decision-Making for Autonomous Driving with Sparse Rewards. CoRR (2020)
Jack Geary, Henry Gouk
Resolving Conflict in Decision-Making for Autonomous Driving. CoRR (2020)
Henry Gouk, Bernhard Pfahringer, Eibe Frank
Stochastic Gradient Trees. ACML (2019)
Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
Deep clustering with concrete k-means. CoRR (2019)
Henry Gouk, Bernhard Pfahringer, Eibe Frank
Stochastic Gradient Trees. CoRR (2019)
Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael J. Cree
Regularisation of Neural Networks by Enforcing Lipschitz Continuity. CoRR (2018)
Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree
MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes. ECML/PKDD (1) (2018)
Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree
MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes. CoRR (2018)
Michael J. Cree, John A. Perrone, Gehan Anthonys, Aden C. Garnett, Henry Gouk
Estimating heading direction from monocular video sequences using biologically-based sensors. IVCNZ (2016)
Henry Gouk, Bernhard Pfahringer, Michael J. Cree
Learning Distance Metrics for Multi-Label Classification. ACML (2016)
Henry Gouk, Bernhard Pfahringer, Michael J. Cree
Learning Similarity Metrics by Factorising Adjacency Matrices. CoRR (2015)