Evan Shelhamer

58 papers A* 12Journal 37Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-Distillation of Hidden Layers for Self-Supervised Representation Learning. CoRR Scott C. Lowe, Anthony Fuller, Sageev Oore, Evan Shelhamer, Graham W. Taylor
2026	J	`jnl`	Self-Soupervision: Cooking Model Soups without Labels. CoRR Anthony Fuller, James R. Green, Evan Shelhamer
2025	J	`jnl`	AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data. CoRR Christopher F. Brown, Michal Kazmierski, Valerie Pasquarella, William Rucklidge, Masha Samsikova, Chenhui Zhang, Evan Shelhamer, Estefania Lahera, Olivia Wiles, Simon Ilyushchenko, Noel Gorelick, Lihui Lydia Zhang, Sophia Alj, Emily Schechter, Sean Askay, Oliver Guinan, Rebecca Moore, Alexis Boukouvalas, Pushmeet Kohli
2025	J	`jnl`	Asymmetric Duos: Sidekicks Improve Uncertainty. CoRR Tim G. Zhou, Evan Shelhamer, Geoff Pleiss
2025	A*	`conf`	Galileo: Learning Global & Local Features of Many Remote Sensing Modalities. ICML Gabriel Tseng, Anthony Fuller, Marlena Reil, Henry Herzog, Patrick Beukema, Favyen Bastani, James R. Green, Evan Shelhamer, Hannah Kerner, David Rolnick
2025	J	`jnl`	Galileo: Learning Global and Local Features in Pretrained Remote Sensing Models. CoRR Gabriel Tseng, Anthony Fuller, Marlena Reil, Henry Herzog, Patrick Beukema, Favyen Bastani, James R. Green, Evan Shelhamer, Hannah Kerner, David Rolnick
2025	J	`jnl`	GeoCrossBench: Cross-Band Generalization for Remote Sensing. CoRR Hakob Tamazyan, Ani Vanyan, Alvard Barseghyan, Anna Khosrovyan, Evan Shelhamer, Hrant Khachatrian
2025	J	`jnl`	LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision. CoRR Anthony Fuller, Yousef Yassin, Junfeng Wen, Daniel G. Kyrollos, Tarek Ibrahim, James R. Green, Evan Shelhamer
2025	J	`jnl`	OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation. CoRR Henry Herzog, Favyen Bastani, Yawen Zhang, Gabriel Tseng, Joseph Redmon, Hadrien Sablon, Ryan Park, Jacob Morrison, Alexandra Buraczynski, Karen Farley, Joshua Hansen, Andrew Howe, Patrick Alan Johnson, Mark Otterlee, Ted Schmitt, Hunter Pitelka, Stephen Daspit, Rachel Ratner, Christopher Wilhelm, Sebastian Wood, Mike Jacobi, Hannah Kerner, Evan Shelhamer, Ali Farhadi, Ranjay Krishna, Patrick Beukema
2025	J	`jnl`	ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains. CoRR Guillaume Vray, Devavrat Tomar, Xufeng Gao, Jean-Philippe Thiran, Evan Shelhamer, Behzad Bozorgtabar
2025	J	`jnl`	Simpler Fast Vision Transformers with a Jumbo CLS Token. CoRR Anthony Fuller, Yousef Yassin, Daniel G. Kyrollos, Evan Shelhamer, James R. Green
2024	A*	`conf`	Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences. NeurIPS Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy, Evan Shelhamer, Mathias Lécuyer
2024	J	`jnl`	Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples. CoRR Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy, Evan Shelhamer, Mathias Lécuyer
2023	A*	`conf`	Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. CVPR Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang
2023	J	`jnl`	Exploring Simple and Transferable Recognition-Aware Image Processing. IEEE Trans. Pattern Anal. Mach. Intell. Zhuang Liu, Hung-Ju Wang, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Evan Shelhamer, Trevor Darrell
2023	A*	`conf`	Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. CVPR Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal
2023	J	`jnl`	Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. CoRR Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal
2022	A*	`conf`	Anytime Dense Prediction with Confidence Adaptivity. ICLR Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang, Trevor Darrell, Evan Shelhamer
2022	J	`jnl`	Back to the Source: Diffusion-Driven Test-Time Adaptation. CoRR Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang
2022	A*	`conf`	Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. ICML Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil
2022	J	`jnl`	Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. CoRR Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil
2022	J	`jnl`	Hierarchical Perceiver. CoRR João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
2022	—	`conf`	Object Discovery and Representation Networks. ECCV (27) Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
2022	J	`jnl`	Object discovery and representation networks. CoRR Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
2022	A*	`conf`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2022	J	`jnl`	Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods. CoRR Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff
2021	J	`jnl`	Confidence Adaptive Anytime Pixel-Level Recognition. CoRR Zhuang Liu, Trevor Darrell, Evan Shelhamer
2021	J	`jnl`	Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. CoRR Dequan Wang, An Ju, Evan Shelhamer, David A. Wagner, Trevor Darrell
2021	J	`jnl`	On-target Adaptation. CoRR Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell
2021	J	`jnl`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2021	A*	`conf`	Tent: Fully Test-Time Adaptation by Entropy Minimization. ICLR Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell
2020	J	`jnl`	Fully Test-time Adaptation by Entropy Minimization. CoRR Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell
2020	J	`jnl`	It Is Likely That Your Loss Should be a Likelihood. CoRR Mark Hamilton, Evan Shelhamer, William T. Freeman
2019	J	`jnl`	Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields. CoRR Evan Shelhamer, Dequan Wang, Trevor Darrell
2019	J	`jnl`	Dynamic Scale Inference by Entropy Minimization. CoRR Dequan Wang, Evan Shelhamer, Bruno A. Olshausen, Trevor Darrell
2019	J	`jnl`	Infinite Mixture Prototypes for Few-Shot Learning. CoRR Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum
2019	A*	`conf`	Infinite Mixture Prototypes for Few-shot Learning. ICML Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum
2018	—	`conf`	Conditional Networks for Few-Shot Semantic Segmentation. ICLR (Workshop) Kate Rakelly, Evan Shelhamer, Trevor Darrell, Alyosha A. Efros, Sergey Levine
2018	A*	`conf`	Deep Layer Aggregation. CVPR Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell
2018	J	`jnl`	Few-Shot Segmentation Propagation with Guided Networks. CoRR Kate Rakelly, Evan Shelhamer, Trevor Darrell, Alexei A. Efros, Sergey Levine
2018	—	`conf`	Learning Rich Image Representation with Deep Layer Aggregation. ICLR (Workshop) Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell
2018	—	`conf`	Zero-Shot Visual Imitation. CVPR Workshops Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell
2018	—	`conf`	Zero-Shot Visual Imitation. ICLR Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell
2018	J	`jnl`	Zero-Shot Visual Imitation. CoRR Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell
2017	J	`jnl`	Fully Convolutional Networks for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Evan Shelhamer, Jonathan Long, Trevor Darrell
2017	—	`conf`	Loss is its own Reward: Self-Supervision for Reinforcement Learning. ICLR (Workshop) Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell
2016	—	`conf`	Clockwork Convnets for Video Semantic Segmentation. ECCV Workshops (3) Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell
2016	J	`jnl`	Clockwork Convnets for Video Semantic Segmentation. CoRR Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell
2016	J	`jnl`	Fully Convolutional Networks for Semantic Segmentation. CoRR Evan Shelhamer, Jonathan Long, Trevor Darrell
2016	J	`jnl`	Loss is its own Reward: Self-Supervision for Reinforcement Learning. CoRR Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell
2015	J	`jnl`	Fine-grained pose prediction, normalization, and recognition. CoRR Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell
2015	—	`conf`	Fully Convolutional Multi-Class Multiple Instance Learning. ICLR (Workshop) Deepak Pathak, Evan Shelhamer, Jonathan Long, Trevor Darrell
2015	A*	`conf`	Fully convolutional networks for semantic segmentation. CVPR Jonathan Long, Evan Shelhamer, Trevor Darrell
2015	—	`conf`	Scene Intrinsics and Depth from a Single Image. ICCV Workshops Evan Shelhamer, Jonathan T. Barron, Trevor Darrell
2014	A*	`conf`	Caffe: Convolutional Architecture for Fast Feature Embedding. ACM Multimedia Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell
2014	J	`jnl`	Caffe: Convolutional Architecture for Fast Feature Embedding. CoRR Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell
2014	J	`jnl`	Fully Convolutional Networks for Semantic Segmentation. CoRR Jonathan Long, Evan Shelhamer, Trevor Darrell
2014	J	`jnl`	cuDNN: Efficient Primitives for Deep Learning. CoRR Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer