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The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning., , , and . CoRR, (2022)Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies., , , and . CoRR, (2023)The Effectiveness of World Models for Continual Reinforcement Learning., , , , , , , and . CoLLAs, volume 232 of Proceedings of Machine Learning Research, page 184-204. PMLR, (2023)An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning., , and . ICASSP, page 3179-3183. IEEE, (2022)Same State, Different Task: Continual Reinforcement Learning without Interference., , , , and . AAAI, page 7143-7151. AAAI Press, (2022)Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition., , and . ICASSP, page 7102-7106. IEEE, (2022)Hierarchical Indian buffet neural networks for Bayesian continual learning., , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 749-759. AUAI Press, (2021)Follow the Leader: Technical and Inspirational Leadership in Open Source Software., and . CHI, page 303:1-303:15. ACM, (2022)Indian Buffet Neural Networks for Continual Learning., , , and . CoRR, (2019)Same State, Different Task: Continual Reinforcement Learning without Interference., , , , and . CoRR, (2021)