[SAIF 2019] Day 1: Three Flavors of Neural Sequence Generation - Kyunghyun Cho | Samsung

Опубликовано 6 февраля 2020, 1:19

Standard neural sequence generation methods assume a pre-specified generation order, such as left-to-right generation. Despite its wild success in recent years, there's a lingering question of whether this is necessary and if there is any other way to generate such a sequence in an order automatically learned from data without having to pre-specify it or relying on external tools. I will discuss in this talk three alternatives; parallel decoding, recursive set prediction, and insertion-based generation.

#SAIF #SamsungAIForum

For more info, visit our page:
#SAIT(Samsung Advanced Institute of Technology): smsng.co/sait