| Regularisation of Neural Networks by Enforcing Lipschitz Continuity H Gouk, E Frank, B Pfahringer, M Cree Machine Learning 110 (2), 393-416, 2021 | 497 | 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 | 289 | 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 | 287 | 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 | 66 | 2021 |
| Distance-Based Regularisation of Deep Networks for Fine-Tuning H Gouk, TM Hospedales, M Pontil International Conference on Learning Representations, 2021 | 48 | 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 | 36* | 2022 |
| Fast Sliding Window Classification with Convolutional Neural Networks HGR Gouk, AM Blake Proceedings of the 29th International Conference on Image and Vision …, 2014 | 35 | 2014 |
| Learning Distance Metrics for Multi-Label Classification H Gouk, B Pfahringer, MJ Cree 8th Asian Conference on Machine Learning 63, 318-333, 2016 | 34 | 2016 |
| Loss Function Learning for Domain Generalization by Implicit Gradient B Gao, H Gouk, Y Yang, T Hospedales International Conference on Machine Learning, 2022 | 32 | 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 | 26* | 2020 |
| Weight-Covariance Alignment for Adversarially Robust Neural Networks P Eustratiadis, H Gouk, D Li, T Hospedales International Conference on Machine Learning, 2021 | 23 | 2021 |
| Stochastic Gradient Trees H Gouk, B Pfahringer, E Frank 11th Asian Conference on Machine Learning 101, 1094-1109, 2019 | 22 | 2019 |
| Searching for Robustness: Loss Learning for Noisy Classification Tasks B Gao, H Gouk, TM Hospedales International Conference on Computer Vision, 2021 | 20 | 2021 |
| On the Limitations of General Purpose Domain Generalisation Methods H Gouk, O Bohdal, D Li, T Hospedales arXiv e-prints, arXiv: 2202.00563, 2024 | 15* | 2024 |
| 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 | 14* | 2022 |
| 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 | 11 | 2020 |
| 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 | 9 | 2019 |
| 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 | 8 | 2023 |
| Meta Mirror Descent: Optimiser Learning for Fast Convergence B Gao, H Gouk, HB Lee, TM Hospedales ICLR 2022 GoundedML Workshop, 2022 | 7 | 2022 |
| Resolving Conflict in Decision-Making for Autonomous Driving J Geary, S Ramamoorthy, H Gouk Robotics: Science and Systems, 2021 | 7 | 2021 |
Timothy M. HospedalesProfessor, University of Edinburgh; Samsung AI Research在 ed.ac.uk 的电子邮件经过验证
