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10/25/2021
Differentiable NAS Framework and Application to Ads CTR Prediction
Neural architecture search (NAS) methods aim to automatically find the o...
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07/08/2021
First-Generation Inference Accelerator Deployment at Facebook
In this paper, we provide a deep dive into the deployment of inference a...
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10/17/2020
Check-N-Run: A Checkpointing System for Training Recommendation Models
Checkpoints play an important role in training recommendation systems at...
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05/31/2019
Deep Learning Recommendation Model for Personalization and Recommendation Systems
With the advent of deep learning, neural network-based recommendation mo...
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05/29/2019
A Study of BFLOAT16 for Deep Learning Training
This paper presents the first comprehensive empirical study demonstratin...
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11/14/2018
Bandana: Using Non-volatile Memory for Storing Deep Learning Models
Typical large-scale recommender systems use deep learning models that ar...
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05/02/2018
