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Found 3 papers, 1 papers with code
Predicate Classification Using Optimal Transport Loss in Scene Graph Generation
In scene graph generation (SGG), learning with cross-entropy loss yields biased predictions owing to the severe imbalance in the distribution of the relationship labels in the dataset.
Trustworthy Human Computation: A Survey
Human computation is an approach to solving problems that prove difficult using AI only, and involves the cooperation of many humans.
Factorization Machines with Regularization for Sparse Feature Interactions
For feature interaction selection, our proposed regularizer makes the feature interaction matrix sparse without a restriction on sparsity patterns imposed by the existing methods.
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