828 citations · 5.6k across the 171 of their papers we have counts for
3 papers · 2 filters
Grounding Language for Transfer in Deep Reinforcement Learning
Karthik Narasimhan, Regina Barzilay, Tommi Jaakkola
In this paper, we explore the utilization of natural language to drive transfer for reinforcement learning (RL). Despite the wide-spread application of deep RL techniques, learning…
Style Transfer from Non-Parallel Text by Cross-Alignment
Tianxiao Shen, Tao Lei, Regina Barzilay +1
This paper focuses on style transfer on the basis of non-parallel text. This is an instance of a broad family of problems including machine translation, decipherment, and sentiment…
Aspect-augmented Adversarial Networks for Domain Adaptation
Yuan Zhang, Regina Barzilay, Tommi Jaakkola
We introduce a neural method for transfer learning between two (source and target) classification tasks or aspects over the same domain. Rather than training on target labels, we u…