Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
Boltzmann machine |
| gptkbp:addsPenalty |
Jacobian norm of encoder activations
|
| gptkbp:author |
gptkb:Pascal_Vincent
gptkb:Xavier_Glorot gptkb:Yoshua_Bengio Salah Rifai Xavier Muller |
| gptkbp:citation |
Contractive Auto-Encoders: Explicit Invariance During Feature Extraction
|
| https://www.w3.org/2000/01/rdf-schema#label |
Contractive autoencoder
|
| gptkbp:introduced |
Salah Rifai
|
| gptkbp:introducedIn |
2011
|
| gptkbp:objective |
Robustness to small input perturbations
|
| gptkbp:publishedIn |
International Conference on Machine Learning (ICML) 2011
|
| gptkbp:reduces |
Reconstruction error
|
| gptkbp:regularizes |
Encoder mapping
|
| gptkbp:relatedTo |
gptkb:Denoising_autoencoder
gptkb:Sparse_autoencoder gptkb:Variational_autoencoder |
| gptkbp:usedFor |
Dimensionality reduction
Feature learning |
| gptkbp:usedIn |
Unsupervised learning
|
| gptkbp:bfsParent |
gptkb:Boltzmann_machine
|
| gptkbp:bfsLayer |
5
|