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On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset

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Gondal,  M. W.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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

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Locatello,  F.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Volchkov,  V.
Central Scientific Facility Optics and Sensing Laboratory, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Akpo,  J.
Central Scientific Facility Robotics, Max Planck Institute for Intelligent Systems, Max Planck Society;

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

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Bauer,  S.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Gondal, M. W., Wüthrich, M., Miladinović, D., Locatello, F., Breidt, M., Volchkov, V., et al. (2020). On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, & R. Garnett (Eds.), Advances in Neural Information Processing Systems 32 (pp. 15661-15672). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper/9704-on-the-transfer-of-inductive-bias-from-simulation-to-the-real-world-a-new-disentanglement-dataset.


Cite as: http://hdl.handle.net/21.11116/0000-0006-E066-A
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