Kevin Smith
19 papers · 2018–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (7) π Interdisciplinary Bridge π Academic Marathon (7) π Conference Polyglot (9) πΊοΈ Taxonomy Completionist (32)
πΊοΈ
Taxonomy Completionist
(32)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π
Conference Pioneer
π
Century Club
(19)
β‘
Prolific Year
(7)
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(79)
β
The Questioner
Conferences
NIPS (5)
ICML (3)
WACV (3)
ECCV (2)
MICCAI (2)
CVPR (1)
ICCV (1)
MIDL (1)
RSS (1)
Top co-authors
Keywords
transfer learning
(3)
differentiable physics
(2)
high content imaging
(2)
domain adaptation
(2)
foundation model
(2)
physical scene understanding
(2)
online learning
(1)
vision transformer
(1)
image classification
(1)
bayesian inference
(1)
particle filtering
(1)
video prediction
(1)
mathematical reasoning
(1)
self-supervised learning
(1)
image restoration
(1)
semi-supervised learning
(1)
3d scene understanding
(1)
feature embedding
(1)
visual reasoning
(1)
batch normalization
(1)
Papers
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations
ICCV 2025
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation
WACV 2024
Are Natural Domain Foundation Models Useful for Medical Image Classification?
WACV 2024
Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads
NIPS 2024
Learning from Offline Foundation Features with Tensor Augmentations
NIPS 2024
Privacy Protection in MRI Scans Using 3D Masked Autoencoders
MICCAI 2024
A framework for assessing joint human-AI systems based on uncertainty estimation
MICCAI 2024
Understanding Physical Dynamics with Counterfactual World Modeling
ECCV 2024
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
NIPS 2023
Metadata-guided Consistency Learning for High Content Images
MIDL 2023
PatchDropout: Economizing Vision Transformers Using Patch Dropout
WACV 2023
What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors
CVPR 2022
AGENT: A Benchmark for Core Psychological Reasoning
ICML 2021
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
ECCV 2020
Adding seemingly uninformative labels helps in low data regimes
ICML 2020
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations
NIPS 2019
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
ICML 2018
End-to-End Differentiable Physics for Learning and Control
NIPS 2018
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning
RSS 2018