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Efficient Large-Scale Visual Representation Learning And Evaluation
Efficiently learning visual representations of items is vital for large-scale recommendations.
adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads
To this end we introduce a three-component module called the adSformer diversifiable personalization module (ADPM) that learns a dynamic user representation.
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data
Distributed learning algorithms aim to leverage distributed and diverse data stored at users' devices to learn a global phenomena by performing training amongst participating devices and periodically aggregating their local models' parameters into a global model.
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