Yeo, Teresa

10 publications

TMLR 2025 An Analysis of Model Robustness Across Concurrent Distribution Shifts Myeongho Jeon, Suhwan Choi, Hyoje Lee, Teresa Yeo

TMLR 2025 Controlled Training Data Generation with Diffusion Models Teresa Yeo, Andrei Atanov, Harold Luc Benoit, Aleksandr Alekseev, Ruchira Ray, Pooya Esmaeil Akhoondi, Amir Zamir

ECCV 2024 ViPer: Visual Personalization of Generative Models via Individual Preference Learning Sogand Salehi, Mahdi Shafiei, Roman Bachmann, Teresa Yeo, Amir Zamir

NeurIPS 2023 4m: Massively Multimodal Masked Modeling David Mizrahi, Roman Bachmann, Oguzhan Kar, Teresa Yeo, Mingfei Gao, Afshin Dehghan, Amir Zamir

ICCV 2023 Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback Teresa Yeo, Oğuzhan Fatih Kar, Zahra Sodagar, Amir Zamir

CVPR 2022 3D Common Corruptions and Data Augmentation Oğuzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir

ICMLW 2022 3D Common Corruptions for Object Recognition Oguzhan Fatih Kar, Teresa Yeo, Amir Zamir

NeurIPS 2022 Task Discovery: Finding the Tasks That Neural Networks Generalize on Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir

ICCV 2021 Robustness via Cross-Domain Ensembles Teresa Yeo, Oğuzhan Fatih Kar, Amir Zamir

AAAI 2019 Iterative Classroom Teaching Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher