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Found 4 papers, 2 papers with code
Contrastive Learning for Unsupervised Image-to-Image Translation
Image-to-image translation aims to learn a mapping between different groups of visually distinguishable images.
Semantics-Preserving Adversarial Training
Adversarial training is a defense technique that improves adversarial robustness of a deep neural network (DNN) by including adversarial examples in the training data.
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Recent works have shown that generative data augmentation, where synthetic samples generated from deep generative models complement the training dataset, benefit NLP tasks.
Style2Vec: Representation Learning for Fashion Items from Style Sets
With the rapid growth of online fashion market, demand for effective fashion recommendation systems has never been greater.
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