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Found 2 papers, 1 papers with code
Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices
Currently, the biaffine classifier has been attracting attention as a method to introduce an attention mechanism into the modeling of binary relations.
Neural Tensor Networks with Diagonal Slice Matrices
Although neural tensor networks (NTNs) have been successful in many NLP tasks, they require a large number of parameters to be estimated, which often leads to overfitting and a long training time.
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