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NBM Nonparametric Bayesian Models
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By Daw, N.
SML
DMRL
Kumar, S., Correa, C. G., Dasgupta, I., Marjieh, R., Hu, M. Y., Hawkins, R.D., Daw, N. D., Cohen, J. D., Narasimhan, K. R., & Griffiths, T. L. (2022). Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. Advances in Neural Information Processing Systems, 36. (preprint link)
SML
DMRL
Kumar, S., Dasgupta, I., Hu, M. Y., Marjieh, R., Hawkins, R. D., Daw, N., Cohen, J., Narasimhan, K. R., & Griffiths, T. L. (2022). Using Natural Language to Guide Meta-Learning Agents towards Human-like Inductive Biases. BACL 1st Workshop on Learning with Natural Language Supervision. (pdf)
DMRL
Kumar, S., Dasgupta, I., Marjieh, R., Daw, N. D., Cohen, J. D., & Griffiths, T. L. (2022). Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. (preprint link)
DMRL
Kumar, S., Dasgupta, I., Cohen, J. D., Daw, N. D., & Griffiths, T. L. (2021). Meta-learning of structured task distributions in humans and machines. Proceedings of the 9th International Conference on Learning Representations (ICLR). (pdf)

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