Yassaman Ebrahimzadeh Maboud

According to our database, Yassaman Ebrahimzadeh Maboud authored at least 6 papers between 2021 and 2025.

Collaborative distances:

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

2025

Slipstream: Semantic-Based Training Acceleration for Recommendation Models.

Yassaman Ebrahimzadeh Maboud, Muhammad Adnan, Divya Mahajan, Prashant J. Nair

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings.

Yassaman Ebrahimzadeh Maboud, Muhammad Adnan, Divya Mahajan, Prashant J. Nair

CoRR, 2024

Heterogeneous Acceleration Pipeline for Recommendation System Training.

Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

2023

Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks.

Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair

CoRR, 2023

2021

Accelerating Recommendation System Training by Leveraging Popular Choices.

Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair

Proc. VLDB Endow., 2021

High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems.

Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair

CoRR, 2021