Kevin Smith
20 papers · 2018–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
ποΈ
Keyword Collector
(84)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Computer Vision
(8)
Deep Learning
(8)
Core AI
(6)
Application Areas
(4)
Domain-Specific
(4)
Learning Types Β· Machine Learning
(4)
Analysis
(3)
Architectures
(3)
Bayesian & Probabilistic
(3)
Techniques
(3)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Processing
(2)
Keywords
transfer learning
(3)
physical scene understanding
(2)
domain adaptation
(2)
foundation model
(2)
medical image classification
(2)
high content imaging
(2)
differentiable physics
(2)
vision transformer
(1)
semi-supervised learning
(1)
image classification
(1)
bayesian inference
(1)
particle filtering
(1)
video prediction
(1)
mathematical reasoning
(1)
image restoration
(1)
3d scene understanding
(1)
benchmark evaluation
(1)
feature embedding
(1)
batch normalization
(1)
medical imaging
(1)
Papers
Learning What Helps: Task-Aligned Context Selection for Vision Tasks
CVPR 2026
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations
ICCV 2025
A framework for assessing joint human-AI systems based on uncertainty estimation
MICCAI 2024
Are Natural Domain Foundation Models Useful for Medical Image Classification?
WACV 2024
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation
WACV 2024
Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads
NeurIPS 2024
Learning from Offline Foundation Features with Tensor Augmentations
NeurIPS 2024
Privacy Protection in MRI Scans Using 3D Masked Autoencoders
MICCAI 2024
Understanding Physical Dynamics with Counterfactual World Modeling
ECCV 2024
Metadata-guided Consistency Learning for High Content Images
MIDL 2023
PatchDropout: Economizing Vision Transformers Using Patch Dropout
WACV 2023
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
NeurIPS 2023
What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors
CVPR 2022
AGENT: A Benchmark for Core Psychological Reasoning
ICML 2021
Adding seemingly uninformative labels helps in low data regimes
ICML 2020
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
ECCV 2020
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations
NeurIPS 2019
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
ICML 2018
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning
RSS 2018
End-to-End Differentiable Physics for Learning and Control
NeurIPS 2018