Learning Representations of Categorical Feature Combinations via Self-Attention

ICLR 2019 Chen XuChengzhen FuPeng JiangWenwu Ou

Self-attention has been widely used to model the sequential data and achieved remarkable results in many applications. Although it can be used to model dependencies without regard to positions of sequences, self-attention is seldom applied to non-sequential data... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.