Hadi Pouransari

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Knowledge Transfer

Uniform Quantization

Sparse Matrices

Top Venues

SIAM J. Sci. Comput.

Publications

Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
MUSCLE: A Model Update Strategy for Compatible LLM Evolution. CoRR (2024)
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. Trans. Mach. Learn. Res. 2024 (2024)
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
TiC-CLIP: Continual Training of CLIP Models. ICLR (2024)
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee 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
DataComp-LM: In search of the next generation of training sets for language models. CoRR (2024)
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Oncel Tuzel
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks. CoRR (2024)
Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum. CoRR (2024)
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models. CoRR (2023)
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
FastFill: Efficient Compatible Model Update. CoRR (2023)
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
TiC-CLIP: Continual Training of CLIP Models. CoRR (2023)
Ran Liu, Ellen L. Zippi, Hadi Pouransari, Christopher M. Sandino, Jingping Nie, Hanlin Goh, Erdrin Azemi, Ali Moin
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals. CoRR (2023)
Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CoRR (2023)
Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. CoRR (2023)
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. CoRR (2023)
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. CoRR (2023)
Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. ICCV (2023)
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
FastFill: Efficient Compatible Model Update. ICLR (2023)
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
Forward Compatible Training for Large-Scale Embedding Retrieval Systems. CVPR (2022)
Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations. CoRR (2022)
Hadi Pouransari, Mojan Javaheripi, Vinay Sharma, Oncel Tuzel
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. CVPR Workshops (2021)
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
Forward Compatible Training for Representation Learning. CoRR (2021)
Hadi Pouransari, Oncel Tuzel
Least squares binary quantization of neural networks. CoRR (2020)
Hadi Pouransari, Zhucheng Tu, Oncel Tuzel
Least squares binary quantization of neural networks. CVPR Workshops (2020)
Hadi Pouransari, Oncel Tuzel
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. CoRR (2020)
Minghuang Ma, Hadi Pouransari, Daniel Chao, Saurabh Adya, Santiago Akle Serrano, Yi Qin, Dan Gimnicher, Dominic Walsh
Democratizing Production-Scale Distributed Deep Learning. CoRR (2018)
Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve
A distributed-memory hierarchical solver for general sparse linear systems. Parallel Comput. 74 (2018)
Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve
A distributed-memory hierarchical solver for general sparse linear systems. CoRR (2017)
Pieter Coulier, Hadi Pouransari, Eric Darve
The Inverse Fast Multipole Method: Using a Fast Approximate Direct Solver as a Preconditioner for Dense Linear Systems. SIAM J. Sci. Comput. 39 (3) (2017)
Hadi Pouransari, Pieter Coulier, Eric Darve
Fast Hierarchical Solvers For Sparse Matrices Using Extended Sparsification and Low-Rank Approximation. SIAM J. Sci. Comput. 39 (3) (2017)
Hadi Pouransari, Eric Darve
Optimizing the Adaptive Fast Multipole Method for Fractal Sets. SIAM J. Sci. Comput. 37 (2) (2015)
Hadi Pouransari, Pieter Coulier, Eric Darve
Fast hierarchical solvers for sparse matrices. CoRR (2015)
Pieter Coulier, Hadi Pouransari, Eric Darve
The inverse fast multipole method: using a fast approximate direct solver as a preconditioner for dense linear systems. CoRR (2015)