עקוב אחר
Piotr Teterwak
Piotr Teterwak
Boston University
כתובת אימייל מאומתת בדומיין bu.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Supervised contrastive learning‏
P Khosla*, P Teterwak*, C Wang, A Sarna, Y Tian, P Isola, A Maschinot, ...‏
NeurIPS 2020, 2020‏
51092020
Boundless: Generative adversarial networks for image extension‏
P Teterwak, A Sarna, D Krishnan, A Maschinot, D Belanger, C Liu, ...‏
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 10520-10529, 2019‏
134*2019
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density‏
K Saito, D Kim, P Teterwak, S Sclaroff, T Darrell, K Saenko‏
ICCV 2021, 2021‏
592021
Oconet: Image extrapolation by object completion‏
RS Bowen, H Chang, C Herrmann, P Teterwak, C Liu, R Zabih‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021‏
212021
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data‏
D Bashkirova, D Hendrycks, D Kim, S Mishra, K Saenko, K Saito, ...‏
NeurIPS Competition Track, 2021‏
192021
Shared roots: Regularizing deep neural networks through multitask learning‏
P Teterwak‏
11*2014
Vision-llms can fool themselves with self-generated typographic attacks‏
M Qraitem, N Tasnim, P Teterwak, K Saenko, BA Plummer‏
arXiv preprint arXiv:2402.00626, 2024‏
72024
Erm++: An improved baseline for domain generalization‏
P Teterwak, K Saito, T Tsiligkaridis, K Saenko, BA Plummer‏
arXiv preprint arXiv:2304.01973, 2023‏
72023
Understanding invariance via feedforward inversion of discriminatively trained classifiers‏
P Teterwak, C Zhang, D Krishnan, MC Mozer‏
International Conference on Machine Learning, 10225-10235, 2021‏
72021
VisDA 2022 challenge: Domain adaptation for industrial waste sorting‏
D Bashkirova, S Mishra, D Lteif, P Teterwak, D Kim, F Alladkani, J Akl, ...‏
NeurIPS 2022 Competition Track, 104-118, 2022‏
62022
Supervised contrastive learning with multiple positive examples‏
D Krishnan, P Khosla, P Teterwak, AY Sarna, AJ Maschinot, C Liu, ...‏
US Patent 11,347,975, 2022‏
42022
Learning to compose superweights for neural parameter allocation search‏
P Teterwak, S Nelson, N Dryden, D Bashkirova, K Saenko, BA Plummer‏
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024‏
22024
CLAMP: Contrastive LAnguage Model Prompt-tuning‏
P Teterwak, X Sun, BA Plummer, K Saenko, SN Lim‏
arXiv preprint arXiv:2312.01629, 2023‏
22023
Mind the backbone: Minimizing backbone distortion for robust object detection‏
K Saito, D Kim, P Teterwak, R Feris, K Saenko‏
arXiv preprint arXiv:2303.14744, 2023‏
22023
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters‏
C Pham, P Teterwak, S Nelson, BA Plummer‏
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024‏
12024
Image extension neural networks‏
MP Bonnevie, A Maschinot, A Sarna, S Bi, J Wang, MS Krainin, W Tong, ...‏
US Patent App. 17/438,687, 2022‏
12022
SLANT: Spurious Logo ANalysis Toolkit‏
M Qraitem, P Teterwak, K Saenko, BA Plummer‏
arXiv preprint arXiv:2406.01449, 2024‏
2024
Supervised Contrastive Learning with Multiple Positive Examples‏
D Krishnan, P Khosla, P Teterwak, AY Sarna, AJ Maschinot, C Liu, ...‏
US Patent App. 17/920,623, 2023‏
2023
Learning to Compose SuperWeights for Neural Parameter Allocation Search Supplementary‏
P Teterwak, S Nelson, N Dryden, D Bashkirova, K Saenko, BA Plummer‏
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters Supplementary‏
C Pham, P Teterwak, S Nelson, BA Plummer‏
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מאמרים 1–20