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Peter Gehler
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TeST: Test-time Self-Training under Distribution Shift


Sep 23, 2022
Samarth Sinha, Peter Gehler, Francesco Locatello, Bernt Schiele

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* WACV 2023 
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Unsupervised Object Learning via Common Fate


Oct 13, 2021
Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf

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Dynamic Inference with Neural Interpreters


Oct 12, 2021
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf

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* NeurIPS 2021 
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You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction


Oct 11, 2021
Osama Makansi, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Dominik Janzing, Thomas Brox, Bernhard Schölkopf

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CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations


Sep 30, 2021
Mohammadreza Zolfaghari, Yi Zhu, Peter Gehler, Thomas Brox

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* ICCV 2021, 14 pages, 13 figures 
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Visual Representation Learning Does Not Generalize Strongly Within the Same Domain


Jul 23, 2021
Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel

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Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning


Jul 12, 2021
Andrea Dittadi, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer

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Backward-Compatible Prediction Updates: A Probabilistic Approach


Jul 02, 2021
Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Peter Gehler

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Towards Total Recall in Industrial Anomaly Detection


Jun 15, 2021
Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter Gehler

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