Najibi, Mahyar

Adversarial training for free

Shafahi, A., Najibi, M., Ghiasi, A., Xu, Z., Dickerson, J., Studer, C., Davis, L. S., Taylor, G., & Goldstein, T. (2019) · ETH Zurich

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 580

SNIPER: Efficient Multi-Scale Training

Singh, B., Najibi, M., & Davis, L. S. (2018) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 438

Offboard 3D Object Detection from Point Cloud Sequences

Qi, C. R., Zhou, Y., Najibi, M., Sun, P., Vo, K., Deng, B., & Anguelov, D. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 176

Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining

Jiang, C. M., Najibi, M., Qi, C. R., Zhou, Y., & Anguelov, D. (2022) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 21

OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Mehta, S., Sekhavat, M. H., Cao, Q., Horton, M., Jin, Y., Sun, C., Mirzadeh, I., Najibi, M., Belenko, D., Zatloukal, P., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2