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Back to the Source: Diffusion-Driven Test-Time Adaptation


Jul 07, 2022
Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang


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Object discovery and representation networks


Mar 16, 2022
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelović

* Technical report 

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Evaluating the Adversarial Robustness of Adaptive Test-time Defenses


Feb 28, 2022
Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, Taylan Cemgil


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Hierarchical Perceiver


Feb 22, 2022
Joao Carreira, Skanda Koppula, Daniel Zoran, Adria Recasens, Catalin Ionescu, Olivier Henaff, Evan Shelhamer, Relja Arandjelovic, Matt Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle


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On-target Adaptation


Sep 02, 2021
Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell


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Perceiver IO: A General Architecture for Structured Inputs & Outputs


Aug 02, 2021
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira

* Code: https://dpmd.ai/perceiver-code 

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Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks


May 18, 2021
Dequan Wang, An Ju, Evan Shelhamer, David Wagner, Trevor Darrell


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Confidence Adaptive Anytime Pixel-Level Recognition


Apr 01, 2021
Zhuang Liu, Trevor Darrell, Evan Shelhamer

* 16 pages, 12 figures 

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It Is Likely That Your Loss Should be a Likelihood


Jul 12, 2020
Mark Hamilton, Evan Shelhamer, William T. Freeman


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Fully Test-time Adaptation by Entropy Minimization


Jun 18, 2020
Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno Olshausen, Trevor Darrell


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