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ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations


Nov 03, 2022
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim


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Uncertainty-Driven Active Vision for Implicit Scene Reconstruction


Oct 03, 2022
Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger, Adriana Romero-Soriano


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On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction


Mar 30, 2022
Tim Bakker, Matthew Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda

* Accepted to MIDL 2022 as conference paper 

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Parameter Prediction for Unseen Deep Architectures


Oct 25, 2021
Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano

* NeurIPS 2021 camera ready, the code is available at https://github.com/facebookresearch/ppuda 

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Instance-Conditioned GAN


Sep 10, 2021
Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano


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Active 3D Shape Reconstruction from Vision and Touch


Jul 20, 2021
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal


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Generating unseen complex scenes: are we there yet?


Dec 07, 2020
Arantxa Casanova, Michal Drozdzal, Adriana Romero-Soriano


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Instance Selection for GANs


Jul 30, 2020
Terrance DeVries, Michal Drozdzal, Graham W. Taylor


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Active MR k-space Sampling with Reinforcement Learning


Jul 20, 2020
Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal

* To appear in 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020 

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3D Shape Reconstruction from Vision and Touch


Jul 07, 2020
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal

* Submitted for review 

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