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Found 2 papers, 1 papers with code
Leveraging Superfluous Information in Contrastive Representation Learning
Contrastive representation learning, which aims to learnthe shared information between different views of unlabeled data by maximizing the mutual information between them, has shown its powerful competence in self-supervised learning for downstream tasks.
Hyperbolic Chamfer Distance for Point Cloud Completion
Chamfer distance (CD) is a standard metric to measure the shape dissimilarity between point clouds in point cloud completion, as well as a loss function for (deep) learning.
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