Piotr Teterwak

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Domain Adaptation

Top Venues

NeurIPS (Competition and Demos)

Publications

Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer
Learning to Compose SuperWeights for Neural Parameter Allocation Search. WACV (2024)
Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer
SLANT: Spurious Logo ANalysis Toolkit. CoRR (2024)
Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters. WACV (2024)
Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters. CoRR (2023)
Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. CoRR (2023)
Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, Youngjin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu Hussein, Binhui Xie, Shuang Li
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. CoRR (2023)
Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
ERM++: An Improved Baseline for Domain Generalization. CoRR (2023)
Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer
Learning to Compose SuperWeights for Neural Parameter Allocation Search. CoRR (2023)
Piotr Teterwak, Ximeng Sun, Bryan A. Plummer, Kate Saenko, Ser-Nam Lim
CLAMP: Contrastive LAnguage Model Prompt-tuning. CoRR (2023)
Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. CoRR (2021)
Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers. ICML (2021)
Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih
OCONet: Image Extrapolation by Object Completion. CVPR (2021)
Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. CoRR (2021)
Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, YoungJin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. NeurIPS (Competition and Demos) (2021)
Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. ICCV (2021)
Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer
Understanding invariance via feedforward inversion of discriminatively trained classifiers. CoRR (2021)
Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman
VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. NeurIPS (Competition and Demos) (2021)
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
Supervised Contrastive Learning. NeurIPS (2020)
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
Supervised Contrastive Learning. CoRR (2020)
Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman
Boundless: Generative Adversarial Networks for Image Extension. ICCV (2019)
Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman
Boundless: Generative Adversarial Networks for Image Extension. CoRR (2019)