| Robust Learning Through Cross-Task Consistency AR Zamir, A Sax, T Yeo, O Kar, N Cheerla, R Suri, Z Cao, J Malik, LJ Guibas arXiv preprint arXiv:2006.04096, 2020 | 158* | 2020 |
| 3D Common Corruptions and Data Augmentation OF Kar, T Yeo, A Atanov, A Zamir CVPR-22 (Oral), 2022 | 78 | 2022 |
| Robustness via Cross-Domain Ensembles T Yeo, OF Kar, A Zamir ICCV-21 (Oral), 2021 | 22 | 2021 |
| Iterative classroom teaching T Yeo, P Kamalaruban, A Singla, A Merchant, T Asselborn, L Faucon, ... AAAI-19 (Oral), 2018 | 21 | 2018 |
| 4M: Massively Multimodal Masked Modeling D Mizrahi, R Bachmann, OF Kar, T Yeo, M Gao, A Dehghan, A Zamir NeurIPS-23 (Spotlight), 2023 | 9 | 2023 |
| Task Discovery: Finding the Tasks that Neural Networks Generalize on A Atanov, A Filatov, T Yeo, A Sohmshetty, A Zamir NeurIPS-22, 2022 | 6 | 2022 |
| 3d common corruptions for object recognition OF Kar, T Yeo, A Zamir ICML 2022 Shift Happens Workshop, 2022 | 6 | 2022 |
| Applying IDC theory to education in the Alps region: a response to Chan et al.’s contribution P Dillenbourg, KG Kim, J Nasir, ST Yeo, JK Olsen Research and Practice in Technology Enhanced Learning 14, 1-10, 2019 | 4 | 2019 |
| Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback T Yeo, OF Kar, Z Sodagar, A Zamir ICCV-23, 2023 | 1 | 2023 |
| Controlled Training Data Generation with Diffusion Models T Yeo, A Atanov, H Benoit, A Alekseev, R Ray, PE Akhoondi, A Zamir arXiv preprint arXiv:2403.15309, 2024 | | 2024 |
| Making Computer Vision Models Robust and Adaptive ST Yeo EPFL, 2023 | | 2023 |
