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07/28/2020
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems
Deep Neural Networks (DNNs) with sparse input features have been widely ...
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07/15/2019
Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction
One of the challenges in display advertising is that the distribution of...
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01/09/2018
Convergence Analysis of Gradient Descent Algorithms with Proportional Updates
The rise of deep learning in recent years has brought with it increasing...
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12/08/2017