Hadi Pouransari

According to our database, Hadi Pouransari authored at least 28 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.

Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta

Trans. Mach. Learn. Res., 2024

Promoting cross-modal representations to improve multimodal foundation models for physiological signals.

Ching Fang, Christopher M. Sandino, Behrooz Mahasseni, Juri Minxha, Hadi Pouransari, Erdrin Azemi, Ali Moin, Ellen L. Zippi

CoRR, 2024

Generalizable autoregressive modeling of time series through functional narratives.

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

CoRR, 2024

DataComp-LM: In search of the next generation of training sets for language models.

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 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

CoRR, 2024

Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum.

Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel

CoRR, 2024

CLIP with Quality Captions: A Strong Pretraining for Vision Tasks.

Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Oncel Tuzel

CoRR, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TiC-CLIP: Continual Training of CLIP Models.

Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training.

Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models.

Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel

CoRR, 2023

Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals.

Ran Liu, Ellen L. Zippi, Hadi Pouransari, Christopher M. Sandino, Jingping Nie, Hanlin Goh, Erdrin Azemi, Ali Moin

CoRR, 2023

FastFill: Efficient Compatible Model Update.

Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations.

Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri

CoRR, 2022

Forward Compatible Training for Large-Scale Embedding Retrieval Systems.

Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Forward Compatible Training for Representation Learning.

Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari

CoRR, 2021

Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution.

Hadi Pouransari, Mojan Javaheripi, Vinay Sharma, Oncel Tuzel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution.

Hadi Pouransari, Oncel Tuzel

CoRR, 2020

Least squares binary quantization of neural networks.

Hadi Pouransari, Oncel Tuzel

CoRR, 2020

Least squares binary quantization of neural networks.

Hadi Pouransari, Zhucheng Tu, Oncel Tuzel

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

A distributed-memory hierarchical solver for general sparse linear systems.

Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve

Parallel Comput., 2018

Democratizing Production-Scale Distributed Deep Learning.

Minghuang Ma, Hadi Pouransari, Daniel Chao, Saurabh Adya, Santiago Akle Serrano, Yi Qin, Dan Gimnicher, Dominic Walsh

CoRR, 2018

2017

Fast Hierarchical Solvers For Sparse Matrices Using Extended Sparsification and Low-Rank Approximation.

Hadi Pouransari, Pieter Coulier, Eric Darve

SIAM J. Sci. Comput., 2017

The Inverse Fast Multipole Method: Using a Fast Approximate Direct Solver as a Preconditioner for Dense Linear Systems.

Pieter Coulier, Hadi Pouransari, Eric Darve

SIAM J. Sci. Comput., 2017

2015

Optimizing the Adaptive Fast Multipole Method for Fractal Sets.

Hadi Pouransari, Eric Darve

SIAM J. Sci. Comput., 2015

Fast hierarchical solvers for sparse matrices.

Hadi Pouransari, Pieter Coulier, Eric Darve

CoRR, 2015