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Found 2 papers, 1 papers with code
A Simple Method for Predicting Covariance Matrices of Financial Returns
We also test covariance predictors on downstream applications such as portfolio optimization methods that depend on the covariance matrix.
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision
Instance segmentation is an active topic in computer vision that is usually solved by using supervised learning approaches over very large datasets composed of object level masks.
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Novel Object Detection
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