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A Framework of Composite Functional Gradient Methods for Generative Adversarial Models
Rie Johnson,
Tong Zhang
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Dive into the research topics of 'A Framework of Composite Functional Gradient Methods for Generative Adversarial Models'. Together they form a unique fingerprint.
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Keyphrases
Gradient Method
100%
Functional Gradient
100%
Generative Adversarial Model
100%
Generative Adversarial Networks
100%
Minimax
33%
Distance Measure
33%
Probability Distribution
33%
Generative Models
33%
Gradient Step
33%
KL Divergence
33%
Network Training
33%
Generated Data
33%
Adversarial Process
33%
Gradient-based Learning
33%
Image Generation
33%
JS Divergence
33%
Minimax Game
33%
Computer Science
Gradient Method
100%
Adversarial Model
100%
Generative Adversarial Networks
100%
Discriminator
66%
Distance Measure
33%
Generative Model
33%
Image Synthesis
33%
Mathematics
Minimax
100%
Real Data
50%
Probability Distribution
50%