ViVA: Semi-supervised visualization via variational autoencoders

Keyphrases

• Classification Model 100%
• Variational Autoencoder 100%
• T-distributed Stochastic Neighbor Embedding (t-SNE) 66%
• Manifold Approximation 66%
• Neural Network 33%
• Popular 33%
• Labeled Data 33%
• Parameterized Model 33%
• Post-processing Techniques 33%
• Classification Accuracy 33%
• Visualization Method 33%
• Embedding Space 33%
• Unlabeled Data 33%
• Deep Neural Network 33%
• Visualization Quality 33%
• Visual Data Classification 33%
• Latent Embedding 33%
• Classification Loss 33%

Computer Science

• Classification Models 100%
• Autoencoder 100%
• Approximation (Algorithm) 66%
• Neural Network 33%
• Classification Accuracy 33%
• visualization method 33%
• Embedding Space 33%
• Popular Approach 33%
• Postprocessing Step 33%
• Deep Neural Network 33%