Rastegari, Mohammad

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Rastegari, M., Ordonez, V., Redmon, J., & Farhadi, A. (2016) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 4,408

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Mehta, S., & Rastegari, M. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,110

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Mehta, S., Rastegari, M., Caspi, A., Shapiro, L., & Hajishirzi, H. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,029

ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network

Mehta, S., Rastegari, M., Shapiro, L., & Hajishirzi, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 551

Separable Self-attention for Mobile Vision Transformers

Mehta, S., & Rastegari, M. (2022) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 215

Supermasks in Superposition

Wortsman, M., Ramanujan, V., Liu, R., Kembhavi, A., Rastegari, M., Yosinski, J., & Farhadi, A. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 144

LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Alizadeh, K., Mirzadeh, S. I., Belenko, D., Khatamifard, S., Cho, M., Del Mundo, C. C., Rastegari, M., & Farajtabar, M. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 113

Token Pooling in Vision Transformers

Marin, D., Chang, J.-H. R., Ranjan, A., Prabhu, A., Rastegari, M., & Tuzel, O. (2021) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 34

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