Piotr Teterwak

27 papers A* 6A 3Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	ERM++: An Improved Baseline for Domain Generalization. WACV Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
2025	A*	`conf`	Is Large-scale Pretraining the Secret to Good Domain Generalization? ICLR Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko
2025	J	`jnl`	Web Artifact Attacks Disrupt Vision Language Models. CoRR Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer
2024	J	`jnl`	Is Large-Scale Pretraining the Secret to Good Domain Generalization? CoRR Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko
2024	A	`conf`	Learning to Compose SuperWeights for Neural Parameter Allocation Search. WACV Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer
2024	A	`conf`	MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters. WACV Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer
2024	J	`jnl`	OP-LoRA: The Blessing of Dimensionality. CoRR Piotr Teterwak, Kate Saenko, Bryan A. Plummer, Ser-Nam Lim
2024	J	`jnl`	SLANT: Spurious Logo ANalysis Toolkit. CoRR Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer
2024	J	`jnl`	Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks. CoRR Maan Qraitem, Nazia Tasnim, Piotr Teterwak, Kate Saenko, Bryan A. Plummer
2023	J	`jnl`	CLAMP: Contrastive LAnguage Model Prompt-tuning. CoRR Piotr Teterwak, Ximeng Sun, Bryan A. Plummer, Kate Saenko, Ser-Nam Lim
2023	J	`jnl`	ERM++: An Improved Baseline for Domain Generalization. CoRR Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
2023	J	`jnl`	Learning to Compose SuperWeights for Neural Parameter Allocation Search. CoRR Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer
2023	J	`jnl`	Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. CoRR Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko
2023	J	`jnl`	MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters. CoRR Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer
2023	J	`jnl`	VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. CoRR 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
2021	A*	`conf`	OCONet: Image Extrapolation by Object Completion. CVPR Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih
2021	A*	`conf`	Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. ICCV Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
2021	J	`jnl`	Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. CoRR Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
2021	A*	`conf`	Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers. ICML Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer
2021	J	`jnl`	Understanding invariance via feedforward inversion of discriminatively trained classifiers. CoRR Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer
2021	—	`conf`	VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. NeurIPS (Competition and Demos) 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
2021	J	`jnl`	VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. CoRR Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman
2021	—	`conf`	VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. NeurIPS (Competition and Demos) Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman
2020	A*	`conf`	Supervised Contrastive Learning. NeurIPS Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
2020	J	`jnl`	Supervised Contrastive Learning. CoRR Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
2019	A*	`conf`	Boundless: Generative Adversarial Networks for Image Extension. ICCV Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman
2019	J	`jnl`	Boundless: Generative Adversarial Networks for Image Extension. CoRR Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman