Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective

@inproceedings{Bhattacharyya2018AccurateAD,
  title={Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective},
  author={Apratim Bhattacharyya and Bernt Schiele and Mario Fritz},
  booktitle={CVPR},
  year={2018}
}
For autonomous agents to successfully operate in the real world, anticipation of future events and states of their environment is a key competence. This problem has been formalized as a sequence extrapolation problem, where a number of observations are used to predict the sequence into the future. Real-world scenarios demand a model of uncertainty of such predictions, as predictions become increasingly uncertain – in particular on long time horizons. While impressive results have been shown on… CONTINUE READING

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