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cs.LG2022★ 1 cited
The Effectiveness of World Models for Continual Reinforcement Learning
Samuel Kessler, Mateusz Ostaszewski, Michał Bortkiewicz +5
World models power some of the most efficient reinforcement learning algorithms. In this work, we showcase that they can be harnessed for continual learning - a situation when the…
cs.CL2022
Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition
Bethan Thomas, Samuel Kessler, Salah Karout
Self-supervised learning (SSL) is a powerful tool that allows learning of underlying representations from unlabeled data. Transformer based models such as wav2vec 2.0 and HuBERT ar…