Piotr Teterwak
Piotr Teterwak
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Cited by
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Supervised contrastive learning
P Khosla*, P Teterwak*, C Wang, A Sarna, Y Tian, P Isola, A Maschinot, ...
NeurIPS 2020, 2020
Boundless: Generative adversarial networks for image extension
D Krishnan, P Teterwak, A Sarna, A Maschinot, C Liu, D Belanger, ...
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 10520-10529, 2019
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
K Saito, D Kim, P Teterwak, S Sclaroff, T Darrell, K Saenko
ICCV 2021, 2021
Oconet: Image extrapolation by object completion
RS Bowen, H Chang, C Herrmann, P Teterwak, C Liu, R Zabih
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Shared roots: Regularizing deep neural networks through multitask learning
P Teterwak
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data
D Bashkirova, D Hendrycks, D Kim, S Mishra, K Saenko, K Saito, ...
NeurIPS Competition Track, 2021
Understanding invariance via feedforward inversion of discriminatively trained classifiers
P Teterwak, C Zhang, D Krishnan, MC Mozer
International Conference on Machine Learning, 10225-10235, 2021
Image extension neural networks
MP Bonnevie, A Maschinot, A Sarna, S Bi, J Wang, MS Krainin, W Tong, ...
US Patent App. 17/438,687, 2022
Supervised contrastive learning with multiple positive examples
D Krishnan, P Khosla, P Teterwak, AY Sarna, AJ Maschinot, C Liu, ...
US Patent 11,347,975, 2022
SuperWeight Ensembles: Automated Compositional Parameter Sharing Across Diverse Architechtures
P Teterwak, S Nelson, N Dryden, D Bashkirova, K Saenko, BA Plummer
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