Hadi Pouransari
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
8
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training. | Jeffrey Li, Joshua P. Gardner, Doug Kang, Fangping Shi, Karanjeet Singh, Chun-Liang Li, Herumb Shandilya, David Leo Wright Hall, Oncel Tuzel, Percy Liang, Ludwig Schmidt, Hadi Pouransari, Fartash Faghri |
| 2025 | ACL | TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. | Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri |
| 2025 | CVPR | FastVLM: Efficient Vision Encoding for Vision Language Models. | Pavan Kumar Anasosalu Vasu, Fartash Faghri, Chun-Liang Li, Cem Koc, Nate True, Albert Antony, Gokula Santhanam, James Gabriel, Peter Grasch, Oncel Tuzel, Hadi Pouransari |
| 2025 | ICML | Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. | Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind |
| 2025 | NAACL | Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. | Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang, Yin Xia, Xiang Kong, Qi Zhu, Simon Wang, Oncel Tuzel, Raviteja Vemulapalli |
| 2024 | CVPR | MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. | Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel |
| 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 | EMNLP | MUSCLE: A Model Update Strategy for Compatible LLM Evolution. | Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari |
| 2024 | ICLR | TiC-CLIP: Continual Training of CLIP Models. | Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri |
| 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 | ICLR | FastFill: Efficient Compatible Model Update. | Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari |
| 2022 | CVPR | Forward Compatible Training for Large-Scale Embedding Retrieval Systems. | Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari |
| 2021 | CVPR | Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. | Hadi Pouransari, Mojan Javaheripi, Vinay Sharma, Oncel Tuzel |
| 2020 | CVPR | Least squares binary quantization of neural networks. | Hadi Pouransari, Zhucheng Tu, Oncel Tuzel |