Papers by Hitoshi Manabe

1 papers
Neural Tensor Networks with Diagonal Slice Matrices (N18-1)

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Challenge: A large number of parameters can cause overfitting and a long training time for neural tensor networks (NTNs).
Approach: They propose two new parameter reduction techniques to reduce the number of parameters in an NTN without diminishing its expressiveness.
Outcome: The proposed models learn better and faster than the original (R)NTNs.

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