Foozhan Ataiefard

According to our database, Foozhan Ataiefard authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Single Parent Family: A Spectrum of Family Members from a Single Pre-Trained Foundation Model.

Habib Hajimolahoseini, Mohammad Hassanpour, Foozhan Ataiefard, Boxing Chen, Yang Liu

CoRR, 2024

SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection.

Foozhan Ataiefard, Walid Ahmed, Habib Hajimolahoseini, Saina Asani, Farnoosh Javadi, Mohammad Hassanpour, Omar Mohamed Awad, Austin Wen, Kangling Liu, Yang Liu

CoRR, 2024

2023

SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling.

Habib Hajimolahoseini, Omar Mohamed Awad, Walid Ahmed, Austin Wen, Saina Asani, Mohammad Hassanpour, Farnoosh Javadi, Mehdi Ahmadi, Foozhan Ataiefard, Kangling Liu, Yang Liu

CoRR, 2023

GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values.

Farnoosh Javadi, Walid Ahmed, Habib Hajimolahoseini, Foozhan Ataiefard, Mohammad Hassanpour, Saina Asani, Austin Wen, Omar Mohamed Awad, Kangling Liu, Yang Liu

CoRR, 2023

Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents.

Foozhan Ataiefard, Hadi Hemmati

CoRR, 2023

Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents^*.

Foozhan Ataiefard, Hadi Hemmati

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Deep State Inference: Toward Behavioral Model Inference of Black-Box Software Systems.

Foozhan Ataiefard, Mohammad Jafar Mashhadi, Hadi Hemmati, Neil Walkinshaw

IEEE Trans. Software Eng., 2022

2021

Behavioral Model Inference of Black-box Software using Deep Neural Networks.

Mohammad Jafar Mashhadi, Foozhan Ataiefard, Hadi Hemmati, Neil Walkinshaw

CoRR, 2021