Hans-Jörg Vögel, Christian Sü, et al.
SEFAIAS 2018
Today's common practice in developing conversational agents is pipelining off-the-shelf modularized services as ready-made building blocks. However, the discrete and sequential nature of the modules yields long response latency. We introduce Sci-Fii, a speculative inference framework accelerating conversational agent systems built with off-the-shelf modules, while keeping the modules unchanged.
Hans-Jörg Vögel, Christian Sü, et al.
SEFAIAS 2018
Bumsoo Kang, Seungchul Lee, et al.
CSCW 2017
Warut D. Vijitbenjaronk, Jinho Lee, et al.
Big Data 2017
Mayoore Jaiswal, Frank Liu, et al.
ICCVW 2019