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Found 5 papers, 1 papers with code
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis
Inspired by the success of deep learning in the image domain, we devise a novel pre-training technique for better model initialization by utilizing the multi-view rendering of the 3D data.
Bag of biterms modeling for short texts
Furthermore, many applications often face with massive and dynamic short texts, causing various computational challenges to the current batch learning algorithms.
Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression
We consider the large sum of DC (Difference of Convex) functions minimization problem which appear in several different areas, especially in stochastic optimization and machine learning.
A DCA-Like Algorithm and its Accelerated Version with Application in Data Visualization
In the first variant, DCA-Like, we introduce a new technique to iteratively modify the decomposition of the objective function.
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification
In this paper, we present a stochastic version of DCA (Difference of Convex functions Algorithm) to solve a class of optimization problems whose objective function is a large sum of non-convex functions and a regularization term.
