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What is: Discriminative Adversarial Search?

SourceDiscriminative Adversarial Search for Abstractive Summarization
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Discriminative Adversarial Search, or DAS, is a sequence decoding approach which aims to alleviate the effects of exposure bias and to optimize on the data distribution itself rather than for external metrics. Inspired by generative adversarial networks (GANs), wherein a discriminator is used to improve the generator, DAS differs from GANs in that the generator parameters are not updated at training time and the discriminator is only used to drive sequence generation at inference time.