Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction Haoran Luo
Neural Information Processing Systems
Beyond traditional binary relational facts, n-ary relational knowledge graphs (NKGs) are comprised of n-ary relational facts containing more than two entities, which are closer to real-world facts with broader applications.
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Efficiency for Free: Ideal Data Are Transportable Representations
Neural Information Processing Systems
Our code is available at: https://github.com/LINs-lab/ReLA .
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Training Uncertainty-AwareClassifierswith ConformalizedDeepLearning
Neural Information Processing Systems
In particular, they tend to be overconfident.
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