Evan Shelhamer
13 papers · 2015–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (21) π Conference Polyglot (5) π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(5)
π§¬
Topic Evolution
π±
Topic Pioneer
π
Century Club
(13)
π
Conference Pioneer
π₯
Unstoppable
(5)
Conferences
CVPR (4)
ICLR (4)
ICML (3)
ECCV (1)
NIPS (1)
Top co-authors
Keywords
adversarial robustness
(3)
image classification
(1)
semantic segmentation
(1)
semi-supervised learning
(1)
few-shot learning
(1)
bayesian nonparametrics
(1)
image generation
(1)
variational inference
(1)
domain adaptation
(1)
unsupervised clustering
(1)
prototype learning
(1)
model robustness
(1)
test-time adaptation
(1)
adversarial training
(1)
deep learning
(1)
visual recognition
(1)
source domain
(1)
distribution shift
(1)
feature hierarchy
(1)
diffusion model
(1)
Papers
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
ICML 2025
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
NIPS 2024
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
CVPR 2023
Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption
CVPR 2023
Object Discovery and Representation Networks
ECCV 2022
Perceiver IO: A General Architecture for Structured Inputs & Outputs
ICLR 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
ICML 2022
Anytime Dense Prediction with Confidence Adaptivity
ICLR 2022
Tent: Fully Test-Time Adaptation by Entropy Minimization
ICLR 2021
Infinite Mixture Prototypes for Few-shot Learning
ICML 2019
Deep Layer Aggregation
CVPR 2018
Zero-Shot Visual Imitation
ICLR 2018
Fully Convolutional Networks for Semantic Segmentation
CVPR 2015