• Publications
  • Influence
Plug and Play Autoencoders for Conditional Text Generation
Evaluations on style transfer tasks both with and without sequence-to-sequence supervision show that the proposed plug and play Emb2Emb method performs better than or comparable to strong baselines while being up to four times faster.
Exploring the Role of Local and Global Explanations in Recommender Systems
The results provide evidence suggesting that both explanations are more helpful than either alone for explaining how to improve recommendations, yet both appeared less helpful than global alone for efficiency in identifying false positives and negatives.