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Sequence Tutor: Conservative fine-tuning of sequence generation models with KL-control

2017

Conference Paper

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Author(s): Jaques, Natasha and Gu, Shixiang and Bahdanau, Dzmitry and Hernández-Lobato, José Miguel and Turner, Richard E. and Eck, Douglas
Book Title: Proceedings of the 34th International Conference on Machine Learning (ICML 2017)
Volume: 70
Pages: 1645--1654
Year: 2017

Series: Proceedings of Machine Learning Research
Editors: Doina Precup and Yee Whye Te
Publisher: PMLR

Department(s): Empirical Inference
Bibtex Type: Conference Paper (conference)

Event Place: Sydney, Australia
State: Published
URL: http://proceedings.mlr.press/v70/jaques17a.html

Links: Arxiv

BibTex

@conference{Jaquesetal17,
  title = {Sequence Tutor: Conservative fine-tuning of sequence generation models with KL-control},
  author = {Jaques, Natasha and Gu, Shixiang and Bahdanau, Dzmitry and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel and Turner, Richard E. and Eck, Douglas},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning (ICML 2017)},
  volume = {70},
  pages = {1645--1654},
  series = {Proceedings of Machine Learning Research},
  editors = {Doina Precup and Yee Whye Te},
  publisher = {PMLR},
  year = {2017},
  url = {http://proceedings.mlr.press/v70/jaques17a.html}
}