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Found 2 papers, 1 papers with code
Verifying Relational Explanations: A Probabilistic Approach
Explanations on relational data are hard to verify since the explanation structures are more complex (e. g. graphs).
On the verification of Embeddings using Hybrid Markov Logic
The standard approach to verify representations learned by Deep Neural Networks is to use them in specific tasks such as classification or regression, and measure their performance based on accuracy in such tasks.
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