Adversarial Sets for Regularising Neural Link Predictors

24 Jul 2017Pasquale MinerviniThomas DemeesterTim RocktäschelSebastian Riedel

In adversarial training, a set of models learn together by pursuing competing goals, usually defined on single data instances. However, in relational learning and other non-i.i.d domains, goals can also be defined over sets of instances... (read more)

PDF Abstract

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.