Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances

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Zhang, Weinan;
  • Subject: Computer Science - Information Retrieval | Computer Science - Learning

Generative adversarial nets (GANs) have been widely studied during the recent development of deep learning and unsupervised learning. With an adversarial training mechanism, GAN manages to train a generative model to fit the underlying unknown real data distribution und... View more
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