6 citations · 6 across the 1 of their papers we have counts for
2 papers
eess.AS2020
Adaptable Multi-Domain Language Model for Transformer ASR
Taewoo Lee, Min-Joong Lee, Tae Gyoon Kang +10
We propose an adapter based multi-domain Transformer based language model (LM) for Transformer ASR. The model consists of a big size common LM and small size adapters. The model ca…
cs.LG2020★ 6 cited
Graph-Aware Transformer: Is Attention All Graphs Need?
Sanghyun Yoo, Young-Seok Kim, Kang Hyun Lee +4
Graphs are the natural data structure to represent relational and structural information in many domains. To cover the broad range of graph-data applications including graph classi…