Piotr Teterwak
10 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Machine Learning
(9)
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(5)
Computer Vision
(3)
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(3)
Optimization & Theory
(3)
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domain adaptation
(2)
domain generalization
(2)
representation learning
(2)
zero-shot learning
(1)
model robustness
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adversarial robustness
(1)
contrastive learning
(1)
transfer learning
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distribution shift
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embedding space
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supervised contrastive learning
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supervised learning
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image reconstruction
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image editing
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neural architecture search
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image classification
(1)
empirical risk minimization
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parameter sharing
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unsupervised learning
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Papers
ERM++: An Improved Baseline for Domain Generalization
WACV 2025
Is Large-scale Pretraining the Secret to Good Domain Generalization?
ICLR 2025
Web Artifact Attacks Disrupt Vision Language Models
ICCV 2025
Learning To Compose SuperWeights for Neural Parameter Allocation Search
WACV 2024
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters
WACV 2024
OCONet: Image Extrapolation by Object Completion
CVPR 2021
Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
ICCV 2021
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
ICML 2021
Supervised Contrastive Learning
NeurIPS 2020
Boundless: Generative Adversarial Networks for Image Extension
ICCV 2019