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Samuel Kessler
Samuel Kessler
University of Oxford
Verifisert e-postadresse på robots.ox.ac.uk - Startside
Tittel
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Sitert av
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Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition
B Thomas, S Kessler, S Karout
ICASSP 2022, 2022
992022
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
58*2021
Same State, Different Task: Continual Reinforcement Learning without Interference
S Kessler, J Parker-Holder, P Ball, S Zohren, SJ Roberts
AAAI 2022, 2021
53*2021
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning
S Kessler, V Nguyen, S Zohren, S Roberts
UAI 2021, 2020
37*2020
The Effectiveness of World Models for Continual Reinforcement Learning
S Kessler, M Ostaszewski, MP Bortkiewicz, M Żarski, M Wolczyk, ...
Conference on Lifelong Learning Agents, 184-204, 2023
14*2023
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
92022
Fisher Flow Matching for Generative Modeling over Discrete Data
O Davis, S Kessler, M Petrache, İ İlkan Ceylan, M Bronstein, AJ Bose
NeurIPs 2024, 2024
82024
On Sequential Bayesian Inference for Continual Learning
S Kessler, A Cobb, TGJ Rudner, S Zohren, SJ Roberts
Entropy 25 (6), 884, 2023
8*2023
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
8*2018
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
K Wood, S Kessler, SJ Roberts, S Zohren
arXiv preprint arXiv:2310.10500, 2023
32023
SAVA: Scalable Learning-Agnostic Data Valuation
S Kessler, T Le, V Nguyen
ICLR 2025, 2024
12024
On Efficient Distillation from LLMs to SLMs
M Jazbec, M Xia, A Mallick, D Madrigal, D Han, S Kessler, V Rühle
NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles …, 2024
2024
Retaining Skills Under Distribution Shifts: Sequential Bayesian Inference, Reinforcement Learning and Applications
SC Kessler
University of Oxford (United Kingdom), 2023
2023
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Artikler 1–13