Search Results for author:
Found 2 papers, 1 papers with code
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information
Here, we consider a matrix factorization problem by utilizing auxiliary information, which is massively available in real-world applications, to overcome the challenges caused by poor data quality.
SDQ: Stochastic Differentiable Quantization with Mixed Precision
In order to deploy deep models in a computationally efficient manner, model quantization approaches have been frequently used.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
