Swisscom Ag

Michael Baeriswyl

Yassine Benyahia

Kamil Bennani-Smires

Claudiu Musat

Methods and systems are provided for neural architecture search. A computer-implemented neural architecture search may be used for providing a neural network configured to perform a selected task. A computational graph is obtained, which includes a plurality of nodes, edges and weightings associated with the nodes and/or edges. The computational graph includes a plurality of candidate models in the form of subgraphs of the computational graph. Selected subgraphs may be trained sequentially, with the weightings corresponding to each said subgraph being updated in response to training. For each weighting in a subgraph which is shared with another subgraph, updates to the weightings are controlled based on an indication of how important to another subgraph a node/edge associated with that weighting is.

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Bern, Switzerland

Michael Baeriswyl