Construct · 1 fields · 1 citations

relational inductive bias: a standalone construct

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relationalinductive bias1 CONSTRUCTRelational inductiveBATTAGLIA · MACHINE LEARNING

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Machine learning

built-in assumptions about entities and their relations, as in graph networks, that constrain what a model learns and aid generalization.

In machine learning, relational inductive bias refers to built-in assumptions about entities and their relations, as in graph networks, that constrain what a model learns and aid generalization. This meaning comes from Battaglia (2018) in arXiv.[1]

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Nearby constructs

bias6 fields · 8 citationsjingle · one name, six constructsgeneralization6 fields · 16 citationsjingle · one name, six constructslearning6 fields · 14 citationsjingle · one name, six constructs

References

  1. Battaglia, P. W., Hamrick, J. B., Bapst, V., Sanchez-Gonzalez, A., Zambaldi, V., Malinowski, M., Tacchetti, A., Raposo, D., Santoro, A., Faulkner, R., Gulcehre, C., Song, F., Ballard, A., Gilmer, J., Dahl, G., Vaswani, A., Allen, K., Nash, C., Langston, V., Dyer, C., Heess, N., Wierstra, D., Kohli, P., Botvinick, M., Vinyals, O., Li, Y., & Pascanu, R. (2018). Relational inductive biases, deep learning, and graph networks. arXiv. https://doi.org/10.48550/arxiv.1806.01261

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