Teterwak, Piotr

9 publications

WACV 2025 ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan Plummer
ICLR 2025 Is Large-Scale Pretraining the Secret to Good Domain Generalization? Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko
ICCV 2025 Web Artifact Attacks Disrupt Vision Language Models Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer
WACV 2024 Learning to Compose SuperWeights for Neural Parameter Allocation Search Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer
WACV 2024 MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer
CVPR 2021 OCONet: Image Extrapolation by Object Completion Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih
ICCV 2021 Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
ICML 2021 Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C Mozer
NeurIPS 2020 Supervised Contrastive Learning Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan