Samuel Kessler
Samuel Kessler
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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
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning
S Kessler, V Nguyen, S Zohren, S Roberts
UAI 2021, 2020
Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition
B Thomas, S Kessler, S Karout
ICASSP 2022, 2022
Same State, Different Task: Continual Reinforcement Learning without Interference
S Kessler, J Parker-Holder, P Ball, S Zohren, SJ Roberts
AAAI 2022, 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
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
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
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
On Sequential Bayesian Inference for Continual Learning
S Kessler, A Cobb, TGJ Rudner, S Zohren, SJ Roberts
arXiv preprint arXiv:2301.01828, 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
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