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Found 2 papers, 1 papers with code
Hierarchically Clustered Representation Learning
The joint optimization of representation learning and clustering in the embedding space has experienced a breakthrough in recent years.
Adversarial Dropout for Supervised and Semi-supervised Learning
Recently, the training with adversarial examples, which are generated by adding a small but worst-case perturbation on input examples, has been proved to improve generalization performance of neural networks.
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