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Found 3 papers, 1 papers with code
Training image classifiers using Semi-Weak Label Data
Thus, this paper introduces a novel semi-weak label learning paradigm as a middle ground to mitigate the problem.
Connecting Embeddings for Knowledge Graph Entity Typing
In this paper, we propose a novel approach for KG entity typing which is trained by jointly utilizing local typing knowledge from existing entity type assertions and global triple knowledge from KGs.
Dual-track Music Generation using Deep Learning
Music generation is always interesting in a sense that there is no formalized recipe.
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