Crossposted on the Petuum blog. Sequence generation is a ubiquitous problem in many applications, such as machine translation, text summarization, image captioning, and so forth. Recently, we published a paper on a unified perspective of a variety of well-used learning algorithms for sequence generation, based on a generalized entropy regularized…

Crossposted on the Petuum blog. We are excited to introduce Texar, an open-source, general-purpose toolkit that supports a broad set of machine learning applications with a focus on text generation tasks. Texar is particularly suitable for researchers and practitioners of fast model prototyping and experimentation. Text Generation at a Glance Text generation spans a broad…