Robust Navigation with Language Pretraining and Stochastic Sampling

@article{Li2019RobustNW,
  title={Robust Navigation with Language Pretraining and Stochastic Sampling},
  author={Xiujun Li and C. Li and Qiaolin Xia and Yonatan Bisk and A. Çelikyilmaz and Jianfeng Gao and Noah A. Smith and Yejin Choi},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.02244}
}
  • Xiujun Li, C. Li, +5 authors Yejin Choi
  • Published 2019
  • Computer Science
  • ArXiv
  • Core to the vision-and-language navigation (VLN) challenge is building robust instruction representations and action decoding schemes, which can generalize well to previously unseen instructions and environments. In this paper, we report two simple but highly effective methods to address these challenges and lead to a new state-of-the-art performance. First, we adapt large-scale pretrained language models to learn text representations that generalize better to previously unseen instructions… CONTINUE READING
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