Search Results for author: Yves Raimond

Found 3 papers, 0 papers with code

Developing a Recommendation Benchmark for MLPerf Training and Inference

no code implementations16 Mar 2020 Carole-Jean Wu, Robin Burke, Ed H. Chi, Joseph Konstan, Julian McAuley, Yves Raimond, Hao Zhang

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.

Image Classification object-detection +3

Gradient Boosted Decision Tree Neural Network

no code implementations17 Oct 2019 Mohammad Saberian, Pablo Delgado, Yves Raimond

In this paper we propose a method to build a neural network that is similar to an ensemble of decision trees.

Beta Survival Models

no code implementations9 May 2019 David Hubbard, Benoit Rostykus, Yves Raimond, Tony Jebara

This article analyzes the problem of estimating the time until an event occurs, also known as survival modeling.

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