| Bayesian Prompt Learning for Image-Language Model Generalization MM Derakhshani, E Sanchez, A Bulat, VGT da Costa, CGM Snoek, ... ICCV, https://github.com/saic-fi/Bayesian-Prom, 2023 | 43* | 2023 |
| Kernel Continual Learning MM Derakhshani, X Zhen, L Shao, C Snoek ICML, 2021 | 37 | 2021 |
| Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors MM Derakhshani, S Masoudnia, AH Shaker, O Mersa, MA Sadeghi, ... CVPR, 2019 | 36 | 2019 |
| Open-ended medical visual question answering through prefix tuning of language models T van Sonsbeek, MM Derakhshani, I Najdenkoska, CGM Snoek, ... MICCAI (Oral), 2023 | 32 | 2023 |
| LifeLonger: A Benchmark for Continual Disease Classification MM Derakhshani, I Najdenkoska, T van Sonsbeek, X Zhen, D Mahapatra, ... MICCAI, 2022 | 29 | 2022 |
| BlockCNN: A Deep Network for Artifact Removal and Image Compression D Maleki, S Nadalian, MM Derakhshani, MA Sadeghi CVPR workshop, 2018 | 26 | 2018 |
| Any-Shift Prompting for Generalization over Distributions Z Xiao, J Shen, MM Derakhshani, S Liao, CGM Snoek CVPR, 2024 | 1 | 2024 |
| Unlocking spatial comprehension in text-to-image diffusion models MM Derakhshani, M Xia, H Behl, CGM Snoek, V Rühle arXiv preprint arXiv:2311.17937, 2023 | 1 | 2023 |
| Self-Supervised Open-Ended Classification with Small Visual Language Models MM Derakhshani, I Najdenkoska, CGM Snoek, M Worring, YM Asano ICLR ME-FoMo Workshop, 2023 | 1* | 2023 |
| Variational prompt tuning improves generalization of vision-language foundation models MM Derakhshani, E Sanchez, A Bulat, VGT da Costa, CGM Snoek, ... ICLR ME-FoMo Workshop, 2023 | | 2023 |
| Method and system for kernel continuing learning M Derakhshani, X Zhen, L Shao, C Snoek US Patent App. 17/346,267, 2022 | | 2022 |
| Generative Kernel Continual learning M Mahdi Derakhshani, X Zhen, L Shao, CGM Snoek arXiv e-prints, arXiv: 2112.13410, 2021 | | 2021 |
Cees G. M. SnoekProfessor of Computer Science, University of Amsterdam在 uva.nl 的电子邮件经过验证
