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

Robust Learning Through Cross-Task Consistency. - Amir R. Zamir; Alexander Sax; Teresa Yeo; Oguzhan Fatih Kar; Nikhil Cheerla; Rohan Suri; Zhangjie Cao; Jitendra Malik; Leonidas J. Guibas (CoRR, 2020)

Robustness via Cross-Domain Ensembles. - Teresa Yeo; Oguzhan Fatih Kar; Amir Zamir (ICCV, 2021)

3D Common Corruptions and Data Augmentation. - Oguzhan Fatih Kar; Teresa Yeo; Andrei Atanov; Amir Zamir (CVPR, 2022)

Task Discovery: Finding the Tasks that Neural Networks Generalize on. - Andrei Atanov; Andrei Filatov; Teresa Yeo; Ajay Sohmshetty; Amir Zamir (NeurIPS, 2022)

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

4M: Massively Multimodal Masked Modeling. - David Mizrahi; Roman Bachmann 001; Oguzhan Fatih Kar; Teresa Yeo; Mingfei Gao; Afshin Dehghan; Amir Zamir (NeurIPS, 2023)

ViPer: Visual Personalization of Generative Models via Individual Preference Learning. - Sogand Salehi; Mahdi Shafiei; Teresa Yeo; Roman Bachmann 001; Amir Zamir (ECCV (74), 2024)

An Analysis of Model Robustness across Concurrent Distribution Shifts. - Myeongho Jeon; Suhwan Choi; Hyoje Lee; Teresa Yeo (Trans. Mach. Learn. Res., 2025)

Controlled Training Data Generation with Diffusion Models. - Teresa Yeo; Andrei Atanov; Harold Benoit; Aleksandr Alekseev; Ruchira Ray; Pooya Esmaeil Akhoondi; Amir Zamir (Trans. Mach. Learn. Res., 2025)