High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems. - Muhammad Adnan; Yassaman Ebrahimzadeh Maboud; Divya Mahajan 001; Prashant J. Nair (CoRR, 2021)

Accelerating Recommendation System Training by Leveraging Popular Choices. - Muhammad Adnan; Yassaman Ebrahimzadeh Maboud; Divya Mahajan 001; Prashant J. Nair (Proc. VLDB Endow., 2021)

Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks. - Muhammad Adnan; Yassaman Ebrahimzadeh Maboud; Divya Mahajan 001; Prashant J. Nair (CoRR, 2023)

Heterogeneous Acceleration Pipeline for Recommendation System Training. - Muhammad Adnan; Yassaman Ebrahimzadeh Maboud; Divya Mahajan 001; Prashant J. Nair (ISCA, 2024)

Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings. - Yassaman Ebrahimzadeh Maboud; Muhammad Adnan; Divya Mahajan 001; Prashant J. Nair (CoRR, 2024)

Slipstream: Semantic-Based Training Acceleration for Recommendation Models. - Yassaman Ebrahimzadeh Maboud; Muhammad Adnan; Divya Mahajan 001; Prashant J. Nair (DATE, 2025)