Hadi Pouransari

56 papers A* 10Journal 39Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training.
EACL (Findings)
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 J jnl
CPEP: Contrastive Pose-EMG Pre-training Enhances Gesture Generalization on EMG Signals.
CoRR
Wenhui Cui, Christopher M. Sandino, Hadi Pouransari, Ran Liu, Juri Minxha, Ellen L. Zippi, Aman Verma, Anna Sedlackova, Erdrin Azemi, Behrooz Mahasseni
2025 J jnl
Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality.
CoRR
Alex Fang, Hadi Pouransari, Matt Jordan, Alexander Toshev, Vaishaal Shankar, Ludwig Schmidt, Tom Gunter
2025 A* conf
FastVLM: Efficient Vision Encoding for Vision Language Models.
CVPR
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 J jnl
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations.
CoRR
Cheng-Yu Hsieh, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, Hadi Pouransari
2025 J jnl
Learning from Self Critique and Refinement for Faithful LLM Summarization.
CoRR
Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Cem Koc, Oncel Tuzel, Raviteja Vemulapalli
2025 J jnl
Learning to Reason for Hallucination Span Detection.
CoRR
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Kundan Krishna, Hadi Pouransari, Cheng-Yu Hsieh, Cem Koc, Joseph Yitan Cheng, Oncel Tuzel, Raviteja Vemulapalli
2025 J jnl
MobileCLIP2: Improving Multi-Modal Reinforced Training.
CoRR
Fartash Faghri, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Alexander Toshev, Oncel Tuzel, Hadi Pouransari
2025 J jnl
MobileCLIP2: Improving Multi-Modal Reinforced Training.
Trans. Mach. Learn. Res.
Fartash Faghri, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Alexander T. Toshev, Oncel Tuzel, Hadi Pouransari
2025 — conf
Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization.
NAACL (Findings)
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
2025 J jnl
Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization.
CoRR
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
2025 J jnl
Pretraining with hierarchical memories: separating long-tail and common knowledge.
CoRR
Hadi Pouransari, David Grangier, C. Thomas, Michael Kirchhof, Oncel Tuzel
2025 A* conf
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting.
ICML
Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind
2025 J jnl
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting.
CoRR
Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind
2025 — conf
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining.
ACL (1)
Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri
2025 J jnl
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining.
CoRR
Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri
2024 J jnl
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.
Trans. Mach. Learn. Res.
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
2024 J jnl
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks.
CoRR
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Oncel Tuzel
2024 A* conf
DataComp-LM: In search of the next generation of training sets for language models.
NeurIPS
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Scott Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024 J jnl
DataComp-LM: In search of the next generation of training sets for language models.
CoRR
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024 A* conf
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum.
NeurIPS
Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel
2024 J jnl
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum.
CoRR
Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel
2024 J jnl
FastVLM: Efficient Vision Encoding for Vision Language Models.
CoRR
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
2024 J jnl
Generalizable autoregressive modeling of time series through functional narratives.
CoRR
Ran Liu, Wenrui Ma, Ellen L. Zippi, Hadi Pouransari, Jingyun Xiao, Christopher M. Sandino, Behrooz Mahasseni, Juri Minxha, Erdrin Azemi, Eva L. Dyer, Ali Moin
2024 A* conf
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models.
ICML
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
2024 — conf
MUSCLE: A Model Update Strategy for Compatible LLM Evolution.
EMNLP (Findings)
Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
2024 J jnl
MUSCLE: A Model Update Strategy for Compatible LLM Evolution.
CoRR
Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
2024 A* conf
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training.
CVPR
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel
2024 J jnl
Promoting cross-modal representations to improve multimodal foundation models for physiological signals.
CoRR
Ching Fang, Christopher M. Sandino, Behrooz Mahasseni, Juri Minxha, Hadi Pouransari, Erdrin Azemi, Ali Moin, Ellen L. Zippi
2024 — conf
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding.
CVPR Workshops
Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
2024 A* conf
TiC-CLIP: Continual Training of CLIP Models.
ICLR
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
2023 J jnl
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.
CoRR
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
2023 A* conf
FastFill: Efficient Compatible Model Update.
ICLR
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
2023 J jnl
FastFill: Efficient Compatible Model Update.
CoRR
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
2023 J jnl
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals.
CoRR
Ran Liu, Ellen L. Zippi, Hadi Pouransari, Christopher M. Sandino, Jingping Nie, Hanlin Goh, Erdrin Azemi, Ali Moin
2023 J jnl
Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models.
CoRR
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
2023 J jnl
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training.
CoRR
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel
2023 A* conf
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement.
ICCV
Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
2023 J jnl
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement.
CoRR
Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
2023 J jnl
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding.
CoRR
Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
2023 J jnl
TiC-CLIP: Continual Training of CLIP Models.
CoRR
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
2022 J jnl
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations.
CoRR
Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri
2022 A* conf
Forward Compatible Training for Large-Scale Embedding Retrieval Systems.
CVPR
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
2021 — conf
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution.
CVPR Workshops
Hadi Pouransari, Mojan Javaheripi, Vinay Sharma, Oncel Tuzel
2021 J jnl
Forward Compatible Training for Representation Learning.
CoRR
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
2020 J jnl
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution.
CoRR
Hadi Pouransari, Oncel Tuzel
2020 — conf
Least squares binary quantization of neural networks.
CVPR Workshops
Hadi Pouransari, Zhucheng Tu, Oncel Tuzel
2020 J jnl
Least squares binary quantization of neural networks.
CoRR
Hadi Pouransari, Oncel Tuzel
2018 J jnl
A distributed-memory hierarchical solver for general sparse linear systems.
Parallel Comput.
Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve
2018 J jnl
Democratizing Production-Scale Distributed Deep Learning.
CoRR
Minghuang Ma, Hadi Pouransari, Daniel Chao, Saurabh Adya, Santiago Akle Serrano, Yi Qin, Dan Gimnicher, Dominic Walsh
2017 J jnl
A distributed-memory hierarchical solver for general sparse linear systems.
CoRR
Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve
2017 J jnl
Fast Hierarchical Solvers For Sparse Matrices Using Extended Sparsification and Low-Rank Approximation.
SIAM J. Sci. Comput.
Hadi Pouransari, Pieter Coulier, Eric Darve
2017 J jnl
The Inverse Fast Multipole Method: Using a Fast Approximate Direct Solver as a Preconditioner for Dense Linear Systems.
SIAM J. Sci. Comput.
Pieter Coulier, Hadi Pouransari, Eric Darve
2015 J jnl
Fast hierarchical solvers for sparse matrices.
CoRR
Hadi Pouransari, Pieter Coulier, Eric Darve
2015 J jnl
Optimizing the Adaptive Fast Multipole Method for Fractal Sets.
SIAM J. Sci. Comput.
Hadi Pouransari, Eric Darve
2015 J jnl
The inverse fast multipole method: using a fast approximate direct solver as a preconditioner for dense linear systems.
CoRR
Pieter Coulier, Hadi Pouransari, Eric Darve