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04/27/2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
Deep learning models in large-scale machine learning systems are often c...
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07/12/2020
Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations
One of the core problems in large-scale recommendations is to retrieve t...
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02/28/2020
Jointly Learning to Recommend and Advertise
Online recommendation and advertising are two major income channels for ...
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02/26/2020
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations
Deep learning based recommender systems (DLRSs) often have embedding lay...
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01/30/2020
Learning to Structure Long-term Dependence for Sequential Recommendation
Sequential recommendation recommends items based on sequences of users' ...
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02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
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10/07/2018
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
Deep neural networks, including recurrent networks, have been successful...
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01/24/2018
Scalable and accurate deep learning for electronic health records
Predictive modeling with electronic health record (EHR) data is anticipa...
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09/26/2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Neural Machine Translation (NMT) is an end-to-end learning approach for ...
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06/24/2016