Mohammad Rastegari
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
13
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Speculative Streaming: Efficient and Scalable Speculative Decoding with Multi-Stream Attention. | Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Antonie Lin, Mohammad Rastegari, Mahyar Najibi |
| 2025 | HPCA | eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. | Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal |
| 2025 | ICLR | SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators. | Rasoul Shafipour, David Harrison, Maxwell Horton, Jeffrey Marker, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi |
| 2024 | ACL | LLM in a flash: Efficient Large Language Model Inference with Limited Memory. | Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, S. Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar |
| 2024 | CVPR | SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. | Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari |
| 2024 | ICLR | ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. | Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar |
| 2024 | ICML | KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. | Minsik Cho, Mohammad Rastegari, Devang Naik |
| 2024 | ICML | Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation. | Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi |
| 2024 | ICML | Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models. | Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel |
| 2023 | ICCV | Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. | Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel |
| 2023 | WACV | Token Pooling in Vision Transformers for Image Classification. | Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel |
| 2022 | ECCV | SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. | Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari |
| 2022 | ICLR | DKM: Differentiable k-Means Clustering Layer for Neural Network Compression. | Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari |
| 2022 | ICLR | MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer. | Sachin Mehta, Mohammad Rastegari |
| 2022 | ICPR | Layer-Wise Data-Free CNN Compression. | Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari |
| 2021 | ICML | Learning Neural Network Subspaces. | Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari |
| 2020 | CVPR | Butterfly Transform: An Efficient FFT Based Neural Architecture Design. | Keivan Alizadeh-Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari |
| 2020 | CVPR | What's Hidden in a Randomly Weighted Neural Network? | Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari |
| 2020 | ICLR | DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling. | Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi |
| 2019 | CVPR | Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors. | Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari, Babak Nadjar Araabi |
| 2019 | CVPR | Two Body Problem: Collaborative Visual Task Completion. | Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi |
| 2019 | CVPR | OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. | Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi |
| 2019 | CVPR | ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network. | Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi |
| 2019 | CVPR | ELASTIC: Improving CNNs With Dynamic Scaling Policies. | Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari |
| 2019 | CVPR | Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning. | Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi |
| 2018 | CVPR | IQA: Visual Question Answering in Interactive Environments. | Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi |
| 2018 | ECCV | ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. | Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi |
| 2018 | EMNLP | Pyramidal Recurrent Unit for Language Modeling. | Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi |
| 2017 | CVPR | LCNN: Lookup-Based Convolutional Neural Network. | Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi |
| 2016 | CVPR | Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images. | Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi |
| 2016 | CVPR | G-CNN: An Iterative Grid Based Object Detector. | Mahyar Najibi, Mohammad Rastegari, Larry S. Davis |
| 2016 | ECCV | "What Happens If..." Learning to Predict the Effect of Forces in Images. | Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi |
| 2016 | ECCV | XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. | Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi |
| 2016 | ICIP | CNN-aware binary MAP for general semantic segmentation. | Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni |
| 2015 | CVPR | Discriminative and consistent similarities in instance-level Multiple Instance Learning. | Mohammad Rastegari, Hannaneh Hajishirzi, Ali Farhadi |
| 2015 | CVPR | Computationally bounded retrieval. | Mohammad Rastegari, Cem Keskin, Pushmeet Kohli, Shahram Izadi |
| 2015 | CVPR | Class consistent multi-modal fusion with binary features. | Ashish Shrivastava, Mohammad Rastegari, Sumit Shekhar, Rama Chellappa, Larry S. Davis |
| 2013 | CVPR | Adding Unlabeled Samples to Categories by Learned Attributes. | Jonghyun Choi, Mohammad Rastegari, Ali Farhadi, Larry S. Davis |
| 2013 | CVPR | Multi-attribute Queries: To Merge or Not to Merge? | Mohammad Rastegari, Ali Diba, Devi Parikh, Ali Farhadi |
| 2013 | ICCV | Domain Adaptive Classification. | Fatemeh Mirrashed, Mohammad Rastegari |
| 2013 | ICML | Predictable Dual-View Hashing. | Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei, Hal Daum III, Larry S. Davis |
| 2012 | ECCV | Attribute Discovery via Predictable Discriminative Binary Codes. | Mohammad Rastegari, Ali Farhadi, David A. Forsyth |
| 2012 | UAI | Semantic Understanding of Professional Soccer Commentaries. | Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins |
| 2011 | ICCV | Scalable object-class retrieval with approximate and top-k ranking. | Mohammad Rastegari, Chen Fang, Lorenzo Torresani |
| 2009 | DICTA | Cartoon Motion Capturing and Retargeting by Rigid Shape Manipulation. | Mohammad Rastegari, Mohammad Rouhani, Niloofar Gheissari, Mir Mohsen Pedram |
| 2008 | DICTA | Multi-scale Cartoon Motion Capture and Retargeting without Shape Matching. | Mohammad Rastegari, Niloofar Gheissari |