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ON PREDICTING GENERALIZATION USING GANS
Yi Zhang
, Arushi Gupta
, Nikunj Saunshi
,
Sanjeev Arora
Computer Science
Bendheim Center for Finance
Center for Statistics & Machine Learning
Princeton Language and Intelligence (PLI)
Princeton University
Research output
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peer-review
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Keyphrases
Training Data
100%
Generative Adversarial Networks
100%
Generalization Bounds
100%
Gans
100%
Network Architecture
50%
Network Model
50%
Data Distribution
50%
Architectural Design
50%
Network Parameters
50%
Training Algorithm
50%
Synthetic Data
50%
Good Enough
50%
Hyperparameter Tuning
50%
Deep Network
50%
Design Training
50%
Actual Test
50%
Generated Samples
50%
Simple Ideas
50%
Mode Collapse
50%
Generalization in Deep Learning
50%
Computer Science
Generative Adversarial Networks
100%
Training Dataset
100%
Data Distribution
50%
Architecture Design
50%
Network Parameter
50%
training algorithm
50%
Synthetic Data
50%
Deep Learning Method
50%