| 研究実績の概要 |
This fiscal year we continued working on continual learning. Building up on our previous paper, we focused on developing fundamental principles of adaptation. One research paper was published at NeurIPS 2021 as a poster presentation.
Khan, M. E. and Swaroop, S. "Knowledge-adaptation priors" Advances in Neural Information Processing Systems 34, pp. 19757-19770, (2021).
This work proposes a new principle of adaptation which most machine-learning models are expected to follow. The paper provides a solid foundation for our previous work. We hope to build on this work to scale our algorithm to ImageNet level.
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