Gouk, Henry
- Regularisation of Neural Networks by Enforcing Lipschitz Continuity
2018/04/12 by Gouk, Henry, Frank, Eibe, Pfahringer, Bernhard +1 · 33 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- How Well Do Self-Supervised Models Transfer?
2020/11/26 by Ericsson, Linus, Gouk, Henry, Hospedales, Timothy M. · 8 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Distance-Based Regularisation of Deep Networks for Fine-Tuning
2020/02/19 by Henry Gouk, Gouk, Henry, Timothy M. Hospedales +3 · 3 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Sparse and Compressive Sensing Techniques
- Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
2021/01/08 by Zhang, Xueting, Meng, Debin, Gouk, Henry +1 · 2 citations
#62F15 #68T07 #FOS: Computer and information sciences #I.4.10 #I.5.1 #Machine Learning (cs.LG)
- Stochastic Gradient Trees
2019/01/23 by Henry Gouk, Bernhard Pfahringer, Gouk, Henry +3 · 1 citation
Computer Science · Environmental Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Is Limited Participant Diversity Impeding EEG-based Machine Learning?
2025/03/11 by Bomatter, Philipp, Gouk, Henry · 3 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
- On the Limitations of General Purpose Domain Generalisation Methods
2022/02/01 by Gouk, Henry, Bohdal, Ondrej, Li, Da +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Meta Mirror Descent: Optimiser Learning for Fast Convergence
2022/03/05 by Gao, Boyan, Gouk, Henry, Lee, Hae Beom +1 · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)