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Showing 1 to 2 of 2 for “"structural inductive biases"”.

  1. The resurgence of structure in deep neural networks

    … architectures and learning algorithms, through structural inductive biases. In this dissertation, I directly validate this hypothesis by developing three structure-infused neural network architectures (operating on sparse multimodal and graph-structured data), and a structure-informed learning …

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  2. Encoding parameter and structural efficiency in deep learning

    … modelling assumptions about the data and inductive biases on network structure to propose simpler neural network models in several application areas. For each of the application areas I work in, I use a combination of these principles of efficiency to design novel approaches. First, within …

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