Henry Gouk - RankMe

63 papers A* 8A 1C 2Misc 3Journal 38Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Sobering Look at Tabular Data Generation via Probabilistic Circuits. CoRR Davide Scassola, Dylan Ponsford, Adrián Javaloy, Sebastiano Saccani, Luca Bortolussi, Henry Gouk, Antonio Vergari
2026	J	`jnl`	Magnitude Distance: A Geometric Measure of Dataset Similarity. CoRR Sahel Torkamani, Henry Gouk, Rik Sarkar
2025	J	`jnl`	Computing Strategic Responses to Non-Linear Classifiers. CoRR Jack Geary, Boyan Gao, Henry Gouk
2025	J	`jnl`	Is Limited Participant Diversity Impeding EEG-based Machine Learning? CoRR Philipp Bomatter, Henry Gouk
2025	J	`jnl`	Model Diffusion for Certifiable Few-shot Transfer Learning. CoRR Fady Rezk, Royson Lee, Henry Gouk, Timothy M. Hospedales, Minyoung Kim
2025	J	`jnl`	Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning. CoRR Taehoon Kim, Henry Gouk, Minyoung Kim, Timothy M. Hospedales
2025	J	`jnl`	Strategic Classification with Randomised Classifiers. CoRR Jack Geary, Henry Gouk
2025	J	`jnl`	Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation. CoRR Taehoon Kim, Henry Gouk, Timothy M. Hospedales
2025	J	`jnl`	The Reward Model Selection Crisis in Personalized Alignment. CoRR Fady Rezk, Yuangang Pan, Chuan-Sheng Foo, Xun Xu, Nancy Chen, Henry Gouk, Timothy M. Hospedales
2024	J	`jnl`	Evaluating the Evaluators: Are Validation Methods for Few-Shot Learning Fit for Purpose? Trans. Mach. Learn. Res. Luísa Shimabucoro, Ruchika Chavhan, Timothy M. Hospedales, Henry Gouk
2024	—	`conf`	Skin Malignancy Classification Using Patients' Skin Images and Meta-data: Multimodal Fusion for Improving Fairness. MIDL Ke Wang, Ningyuan Shan, Henry Gouk, Iris Szu-Szu Ho
2023	J	`jnl`	Amortised Invariance Learning for Contrastive Self-Supervision. CoRR Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales
2023	—	`conf`	Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. Tiny Papers @ ICLR Vithya Yogarajan, Gillian Dobbie, Henry Gouk
2023	J	`jnl`	Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. CoRR Vithya Yogarajan, Gillian Dobbie, Henry Gouk
2023	J	`jnl`	Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? CoRR Luísa Shimabucoro, Timothy M. Hospedales, Henry Gouk
2023	—	`conf`	Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. ICBINB Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales
2023	J	`jnl`	Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. CoRR Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales
2023	A*	`conf`	Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CVPR Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
2023	J	`jnl`	Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CoRR Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
2023	A*	`conf`	Quality Diversity for Visual Pre-Training. ICCV Ruchika Chavhan, Henry Gouk, Da Li, Timothy M. Hospedales
2022	—	`conf`	Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer. Meta-Knowledge Transfer @ ECML/PKDD Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr
2022	J	`jnl`	Attacking Adversarial Defences by Smoothing the Loss Landscape. CoRR Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
2022	—	`ed.`	ECML/PKDD Workshop on Meta-Knowledge Transfer, 23 September 2022, Grenoble, France Meta-Knowledge Transfer @ ECML/PKDD Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr
2022	—	`conf`	Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD Hongyu Wang, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes
2022	J	`jnl`	Finding lost DG: Explaining domain generalization via model complexity. CoRR Da Li, Henry Gouk, Timothy M. Hospedales
2022	J	`jnl`	HyperInvariances: Amortizing Invariance Learning. CoRR Ruchika Chavhan, Henry Gouk, Jan Stühmer, Timothy M. Hospedales
2022	J	`jnl`	Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR 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
2022	A*	`conf`	Loss Function Learning for Domain Generalization by Implicit Gradient. ICML Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M. Hospedales
2022	J	`jnl`	Meta Mirror Descent: Optimiser Learning for Fast Convergence. CoRR Boyan Gao, Henry Gouk, Haebeom Lee, Timothy M. Hospedales
2022	J	`jnl`	Self-Supervised Representation Learning: Introduction, advances, and challenges. IEEE Signal Process. Mag. Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales
2022	A	`conf`	Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks. BMVC Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2021	J	`jnl`	Active Altruism Learning and Information Sufficiency for Autonomous Driving. CoRR Jack Geary, Henry Gouk, Subramanian Ramamoorthy
2021	A*	`conf`	Distance-Based Regularisation of Deep Networks for Fine-Tuning. ICLR Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil
2021	A*	`conf`	How Well Do Self-Supervised Models Transfer? CVPR Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2021	—	`conf`	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) 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
2021	J	`jnl`	Regularisation of neural networks by enforcing Lipschitz continuity. Mach. Learn. Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael J. Cree
2021	—	`conf`	Resolving Conflict in Decision-Making for Autonomous Driving. Robotics: Science and Systems Jack Geary, Subramanian Ramamoorthy, Henry Gouk
2021	A*	`conf`	Searching for Robustness: Loss Learning for Noisy Classification Tasks. ICCV Boyan Gao, Henry Gouk, Timothy M. Hospedales
2021	J	`jnl`	Searching for Robustness: Loss Learning for Noisy Classification Tasks. CoRR Boyan Gao, Henry Gouk, Timothy M. Hospedales
2021	J	`jnl`	Self-Supervised Representation Learning: Introduction, Advances and Challenges. CoRR Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales
2021	A*	`conf`	Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. ICCV Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales
2021	J	`jnl`	Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. CoRR Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales
2021	A*	`conf`	Weight-covariance alignment for adversarially robust neural networks. ICML Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
2021	J	`jnl`	Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks. CoRR Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2020	—	`conf`	A Comparison of Machine Learning Methods for Cross-Domain Few-Shot Learning. Australasian Conference on Artificial Intelligence Hongyu Wang, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo
2020	J	`jnl`	A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness. CoRR Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
2020	J	`jnl`	Altruistic Decision-Making for Autonomous Driving with Sparse Rewards. CoRR Jack Geary, Henry Gouk
2020	—	`conf`	Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes. ACIIDS (1) Vithya Yogarajan, Henry Gouk, Tony Smith, Michael Mayo, Bernhard Pfahringer
2020	Misc	`conf`	Deep Clustering for Domain Adaptation. ICASSP Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
2020	Misc	`conf`	Deep Clusteringwith Concrete K-Means. ICASSP Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
2020	J	`jnl`	Distance-Based Regularisation of Deep Networks for Fine-Tuning. CoRR Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil
2020	J	`jnl`	Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights. CoRR Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2020	J	`jnl`	How Well Do Self-Supervised Models Transfer? CoRR Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2020	J	`jnl`	Resolving Conflict in Decision-Making for Autonomous Driving. CoRR Jack Geary, Henry Gouk
2019	J	`jnl`	Deep clustering with concrete k-means. CoRR Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
2019	C	`conf`	Stochastic Gradient Trees. ACML Henry Gouk, Bernhard Pfahringer, Eibe Frank
2019	J	`jnl`	Stochastic Gradient Trees. CoRR Henry Gouk, Bernhard Pfahringer, Eibe Frank
2018	—	`conf`	MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes. ECML/PKDD (1) Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree
2018	J	`jnl`	MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes. CoRR Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree
2018	J	`jnl`	Regularisation of Neural Networks by Enforcing Lipschitz Continuity. CoRR Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael J. Cree
2016	Misc	`conf`	Estimating heading direction from monocular video sequences using biologically-based sensors. IVCNZ Michael J. Cree, John A. Perrone, Gehan Anthonys, Aden C. Garnett, Henry Gouk
2016	C	`conf`	Learning Distance Metrics for Multi-Label Classification. ACML Henry Gouk, Bernhard Pfahringer, Michael J. Cree
2015	J	`jnl`	Learning Similarity Metrics by Factorising Adjacency Matrices. CoRR Henry Gouk, Bernhard Pfahringer, Michael J. Cree