A Meta-Learning Approach to Predicting Performance and Data Requirements

Jain, Achin; Swaminathan, Gurumurthy; Favaro, Paolo; Yang, Hao; Ravichandran, Avinash; Harutyunyan, Hrayr; Achille, Alessandro; Dabeer, Onkar; Schiele, Bernt; Swaminathan, Ashwin; Soatto, Stefano

doi:10.1109/CVPR52729.2023.00353

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A Meta-Learning Approach to Predicting Performance and Data Requirements

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Schiele, Bernt
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Jain, A., Swaminathan, G., Favaro, P., Yang, H., Ravichandran, A., Harutyunyan, H., et al. (2023). A Meta-Learning Approach to Predicting Performance and Data Requirements. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 3623-3632). Piscataway, NJ: IEEE. doi:10.1109/CVPR52729.2023.00353.

Cite as: https://hdl.handle.net/21.11116/0000-000D-1F64-1

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