Discriminative Adversarial Search

Overview of Discriminative Adversarial Search Discriminative Adversarial Search, or DAS, is a technique that is used in sequence decoding to overcome the problems associated with exposure bias. This approach is designed to optimize data distribution, instead of external metrics, and is inspired by generative adversarial networks (GANs). The Problem with Exposure Bias In sequence decoding, exposure bias occurs when a model is trained on certain inputs and is tested on new inputs that it has n