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Evan Shelhamer

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Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts

Feb 20, 2023
Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal

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Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods

Oct 06, 2022
Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier Hénaff

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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

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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

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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

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