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08/28/2023
Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks
Recommendation models are vital in delivering personalized user experien...
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07/05/2023
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout
Federated Learning (FL) allows machine learning models to train locally ...
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04/11/2022
Heterogeneous Acceleration Pipeline for Recommendation System Training
Recommendation systems are unique as they show a conflation of compute a...
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03/01/2021
High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems
Recommendation models are commonly used learning models that suggest rel...
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06/29/2020
Efficient Algorithms for Device Placement of DNN Graph Operators
Modern machine learning workloads use large models, with complex structu...
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01/08/2018