Discriminative Adversarial Search
Discriminative Adversarial Search
**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.
Discriminative Adversarial Search for Abstractive Summarization
https://paperswithcode.com/paper/discriminative-adversarial-search-for
Discriminative Adversarial Search for Abstractive Summarization