Evan Shelhamer

Computer Science · Physical Sciences

22h-index70.4kcitations54works0.22yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(22), Advanced Neural Network Applications(19), Multimodal Machine Learning Applications(13), Advanced Image and Video Retrieval Techniques(9), Adversarial Robustness in Machine Learning(6)

Publications54 total

Earth Embeddings: Towards AI-centric Representations of our Planet
2025Open Access
OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation
arXiv (Cornell University)·2025Open Access
ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains
arXiv (Cornell University)·2025Open Access
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
arXiv (Cornell University)·2025· 1 citedOpen Access
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
arXiv (Cornell University)·2024Open Access
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
2024
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
2023· 7 cited
Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption
2023· 51 cited
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
arXiv (Cornell University)·2023Open Access
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods
arXiv (Cornell University)·2022· 5 citedOpen Access
Back to the Source: Diffusion-Driven Test-Time Adaptation
arXiv (Cornell University)·2022· 14 citedOpen Access
Object discovery and representation networks
arXiv (Cornell University)·2022Open Access
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
arXiv (Cornell University)·2022· 10 citedOpen Access
HiP: Hierarchical Perceiver
arXiv (Cornell University)·2022· 3 citedOpen Access
Exploring Simple and Transferable Recognition-Aware Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence·2022· 13 citedOpen Access
Object Discovery and Representation Networks
Lecture notes in computer science·2022· 6 citedOpen Access
On-target Adaptation
arXiv (Cornell University)·2021Open Access
Perceiver IO: A General Architecture for Structured Inputs & Outputs
arXiv (Cornell University)·2021· 205 citedOpen Access
Perceiver IO: A General Architecture for Structured Inputs & Outputs
arXiv (Cornell University)·2021· 16 citedOpen Access
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
arXiv (Cornell University)·2021· 8 citedOpen Access
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Frequent Co-authors

Trevor Darrell(33), Dequan Wang(14), Jonathan Long(6), Andrew Jaegle(6), Skanda Koppula(6), Olivier J. Hénaff(6), Daniel Zoran(5), Andrew Zisserman(5), João Carreira(5), Kate Rakelly(4), Zhuang Liu(4), Fisher Yu(3), Shaoteng Liu(3), Bruno A. Olshausen(3), Catalin Ionescu(3), Oriol Vinyals(3), Sergey Levine(3), Alexei A. Efros(3), Hung-Ju Wang(3), Francesco Croce(3)