Piotr Teterwak

According to our database, Piotr Teterwak authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks.

Maan Qraitem, Nazia Tasnim, Piotr Teterwak, Kate Saenko, Bryan A. Plummer

CoRR, 2024

Learning to Compose SuperWeights for Neural Parameter Allocation Search.

Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters.

Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

CLAMP: Contrastive LAnguage Model Prompt-tuning.

Piotr Teterwak, Ximeng Sun, Bryan A. Plummer, Kate Saenko, Ser-Nam Lim

CoRR, 2023

ERM++: An Improved Baseline for Domain Generalization.

Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer

CoRR, 2023

Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection.

Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko

CoRR, 2023

2021

VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data.

Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman

CoRR, 2021

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data.

Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers.

Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer

Proceedings of the 38th International Conference on Machine Learning, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

OCONet: Image Extrapolation by Object Completion.

Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Supervised Contrastive Learning.

Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Boundless: Generative Adversarial Networks for Image Extension.

Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019