The Role of Information Complexity and Randomization in Representation Learning

A grand challenge in representation learning is to learn the different explanatory factors of variation behind the high dimen- sional data. Encoder models are often determined to optimize performance on training data when the real objective is to generalize well to unseen data... (read more)

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METHOD TYPE
Dropout
Regularization
SGD
Stochastic Optimization