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Developing a Recommendation Benchmark for MLPerf Training and Inference
Deep learning-based recommendation models are used pervasively and broadly, for example, to recommend movies, products, or other information most relevant to users, in order to enhance the user experience.
Gradient Boosted Decision Tree Neural Network
In this paper we propose a method to build a neural network that is similar to an ensemble of decision trees.
Beta Survival Models
This article analyzes the problem of estimating the time until an event occurs, also known as survival modeling.
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