| Continual-wav2vec2: an application of continual learning for self-supervised automatic speech recognition S Kessler, B Thomas, S Karout arXiv preprint arXiv:2107.13530, 2021 | 26* | 2021 |
| Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning S Kessler, V Nguyen, S Zohren, S Roberts UAI 2021, 2020 | 21* | 2020 |
| Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition B Thomas, S Kessler, S Karout ICASSP 2022, 2022 | 18 | 2022 |
| Same State, Different Task: Continual Reinforcement Learning without Interference S Kessler, J Parker-Holder, P Ball, S Zohren, SJ Roberts AAAI 2022, 2021 | 15 | 2021 |
| Practical Bayesian Learning of Neural Networks via Adaptive Optimisation Methods S Kessler, A Salas, VWC Tan, S Zohren, S Roberts ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning, 2018 | 7* | 2018 |
| The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning S Kessler, P Miłoś, J Parker-Holder, SJ Roberts arXiv preprint arXiv:2211.15944, 2022 | 3 | 2022 |
| UNCLEAR: A Straightforward Method for Continual Reinforcement Learning S Kessler, J Parker-Holder, P Ball, S Zohren, SJ Roberts ICML Workshop on Continual Learning 2020, 2020 | 3 | 2020 |
| Follow the Leader: Technical and Inspirational Leadership in Open Source Software J Hergueux, S Kessler Proceedings of the ACM CHI Conference on Human Factors in Computing Systems 2022, 2022 | 2 | 2022 |
| On Sequential Bayesian Inference for Continual Learning S Kessler, A Cobb, TGJ Rudner, S Zohren, SJ Roberts arXiv preprint arXiv:2301.01828, 2023 | 1 | 2023 |
| Can Sequential Bayesian Inference Solve Continual Learning? S Kessler, AD Cobb, S Zohren, SJ Roberts Fourth Symposium on Advances in Approximate Bayesian Inference, 0 | | |
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordVerified email at robots.ox.ac.uk
