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Piotr Teterwak
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Conference and Workshop Papers
- 2024
- [c9]Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer:
Learning to Compose SuperWeights for Neural Parameter Allocation Search. WACV 2024: 2739-2748 - [c8]Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer:
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters. WACV 2024: 2788-2797 - 2021
- [c7]Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih:
OCONet: Image Extrapolation by Object Completion. CVPR 2021: 2307-2317 - [c6]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: 9164-9173 - [c5]Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer:
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers. ICML 2021: 10225-10235 - [c4]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: 66-79 - [c3]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: 104-118 - 2020
- [c2]Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan:
Supervised Contrastive Learning. NeurIPS 2020 - 2019
- [c1]Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman:
Boundless: Generative Adversarial Networks for Image Extension. ICCV 2019: 10520-10529
Informal and Other Publications
- 2024
- [i13]Maan Qraitem, Nazia Tasnim, Piotr Teterwak, Kate Saenko, Bryan A. Plummer:
Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks. CoRR abs/2402.00626 (2024) - [i12]Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer:
SLANT: Spurious Logo ANalysis Toolkit. CoRR abs/2406.01449 (2024) - 2023
- [i11]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko:
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. CoRR abs/2303.14744 (2023) - [i10]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 abs/2303.14828 (2023) - [i9]Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer:
ERM++: An Improved Baseline for Domain Generalization. CoRR abs/2304.01973 (2023) - [i8]Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer:
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters. CoRR abs/2311.04251 (2023) - [i7]Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer:
Learning to Compose SuperWeights for Neural Parameter Allocation Search. CoRR abs/2312.01274 (2023) - [i6]Piotr Teterwak, Ximeng Sun, Bryan A. Plummer, Kate Saenko, Ser-Nam Lim:
CLAMP: Contrastive LAnguage Model Prompt-tuning. CoRR abs/2312.01629 (2023) - 2021
- [i5]Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer:
Understanding invariance via feedforward inversion of discriminatively trained classifiers. CoRR abs/2103.07470 (2021) - [i4]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 abs/2107.11011 (2021) - [i3]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 abs/2108.10860 (2021) - 2020
- [i2]Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna
, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan:
Supervised Contrastive Learning. CoRR abs/2004.11362 (2020) - 2019
- [i1]Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman:
Boundless: Generative Adversarial Networks for Image Extension. CoRR abs/1908.07007 (2019)
Coauthor Index
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