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05/03/2023
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models
Sharding a large machine learning model across multiple devices to balan...
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09/02/2022
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems
One of the key challenges of learning an online recommendation model is ...
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08/17/2022
Understanding Scaling Laws for Recommendation Models
Scale has been a major driving force in improving machine learning perfo...
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08/12/2022
AutoShard: Automated Embedding Table Sharding for Recommender Systems
Embedding learning is an important technique in deep recommendation mode...
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10/10/2021
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
Embedding learning has found widespread applications in recommendation s...
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05/04/2021