Papers with Feed-forward networks

1 papers
Do Neural Network Cross-Modal Mappings Really Bridge Modalities? (P18-2)

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Challenge: Feed-forward networks are widely used in cross-modal applications to bridge modalities . success of such systems depends entirely on ability of mapping to make neighborhood structure akin to that of the target vectors.
Approach: They propose to use a similarity measure to measure the neighborhood structure of neural network mappings.
Outcome: The proposed model shows that the predicted neighborhood structure resembles more that of the input vectors than that of target vectors.

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