Hadi Pouransari

According to our database1, Hadi Pouransari authored at least 21 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models.
CoRR, 2023

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training.
CoRR, 2023

TiC-CLIP: Continual Training of CLIP Models.
CoRR, 2023

SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding.
CoRR, 2023

CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.
CoRR, 2023

Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals.
CoRR, 2023

FastFill: Efficient Compatible Model Update.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations.
CoRR, 2022

Forward Compatible Training for Large-Scale Embedding Retrieval Systems.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Forward Compatible Training for Representation Learning.
CoRR, 2021

Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution.
CoRR, 2020

Least squares binary quantization of neural networks.
CoRR, 2020

Least squares binary quantization of neural networks.
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.
Parallel Comput., 2018

Democratizing Production-Scale Distributed Deep Learning.
CoRR, 2018

2017
Fast Hierarchical Solvers For Sparse Matrices Using Extended Sparsification and Low-Rank Approximation.
SIAM J. Sci. Comput., 2017

The Inverse Fast Multipole Method: Using a Fast Approximate Direct Solver as a Preconditioner for Dense Linear Systems.
SIAM J. Sci. Comput., 2017

2015
Optimizing the Adaptive Fast Multipole Method for Fractal Sets.
SIAM J. Sci. Comput., 2015

Fast hierarchical solvers for sparse matrices.
CoRR, 2015


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