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Found 3 papers, 1 papers with code
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law
The pursuit of scaling up recommendation models confronts intrinsic tensions between expanding model capacity and preserving computational tractability.
Shape Modeling with Spline Partitions
In this work, we focus on Bayesian nonparametric methods for capturing shapes by partitioning a space using curves.
Random Tessellation Forests
The Ostomachion process and the self-consistent binary space partitioning-tree process were recently introduced as generalizations of the Mondrian process for space partitioning with non-axis aligned cuts in the two dimensional plane.
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