|
gptkbp:instanceOf
|
Machine Learning Technique
|
|
gptkbp:alternativeName
|
Feature Learning
Representation Discovery
|
|
gptkbp:application
|
gptkb:Computer_Vision
gptkb:Natural_Language_Processing
gptkb:Speech_Recognition
gptkb:Recommender_Systems
|
|
gptkbp:enables
|
Transfer Learning
Classification
Clustering
Data Visualization
Dimensionality Reduction
|
|
gptkbp:fieldOfStudy
|
gptkb:Machine_Learning
|
|
gptkbp:firstAppearance
|
1980s
|
|
gptkbp:goal
|
Learn useful data representations
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Representation Learning
|
|
gptkbp:notable_for
|
gptkb:Deep_Belief_Networks
gptkb:Word2Vec
gptkb:Variational_Autoencoders
gptkb:Generative_Adversarial_Networks
gptkb:t-SNE
gptkb:BERT
Boltzmann machine
Principal Component Analysis
Convolutional Neural Networks
|
|
gptkbp:notableContributor
|
gptkb:Geoffrey_Hinton
gptkb:Yann_LeCun
gptkb:Yoshua_Bengio
|
|
gptkbp:notablePublication
|
gptkb:Auto-Encoding_Variational_Bayes
gptkb:Efficient_Estimation_of_Word_Representations_in_Vector_Space
gptkb:Representation_Learning:_A_Review_and_New_Perspectives
gptkb:ImageNet_Classification_with_Deep_Convolutional_Neural_Networks
|
|
gptkbp:popularizedBy
|
Deep Learning
|
|
gptkbp:relatedTo
|
gptkb:Unsupervised_Learning
gptkb:Self-supervised_Learning
Deep Learning
Word Embeddings
Supervised Learning
Autoencoders
Feature Learning
Manifold Learning
|
|
gptkbp:bfsParent
|
gptkb:Self-supervised_Learning
|
|
gptkbp:bfsLayer
|
7
|