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Conference Paper

Function Contrastive Learning of Transferable Meta-Representations

MPS-Authors
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Gondal,  Muhammad Waleed
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Joshi,  Shruti
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Rahaman,  Nasim
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

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Bauer,  Stefan
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

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Wüthrich,  Manuel
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schölkopf,  Bernhard       
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://proceedings.mlr.press/v139/gondal21a.html
(Publisher version)

https://doi.org/10.48550/arXiv.2010.07093
(Preprint)

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Citation

Gondal, M. W., Joshi, S., Rahaman, N., Bauer, S., Wüthrich, M., & Schölkopf, B. (2021). Function Contrastive Learning of Transferable Meta-Representations. In M. Meila, & T. Zhang (Eds.), Proceedings of the 38th International Conference on Machine Learning (ICML 2021) (pp. 3755-3765). PMLR. Retrieved from https://proceedings.mlr.press/v139/gondal21a.html.


Cite as: https://hdl.handle.net/21.11116/0000-0010-304C-3
Abstract
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