BibTeX records: Junbo Jake Zhao

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@phdthesis{DBLP:phd/us/Zhao19,
  author       = {Junbo Jake Zhao},
  title        = {Unsupervised Learning with Regularized Autoencoders},
  school       = {New York University, {USA}},
  year         = {2019},
  url          = {https://cs.nyu.edu/media/publications/thesis\_jakezhao.pdf},
  timestamp    = {Tue, 17 May 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/phd/us/Zhao19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/icml/ZhaoKZRL18,
  author       = {Junbo Jake Zhao and
                  Yoon Kim and
                  Kelly Zhang and
                  Alexander M. Rush and
                  Yann LeCun},
  editor       = {Jennifer G. Dy and
                  Andreas Krause},
  title        = {Adversarially Regularized Autoencoders},
  booktitle    = {Proceedings of the 35th International Conference on Machine Learning,
                  {ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
                  10-15, 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {80},
  pages        = {5897--5906},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v80/zhao18b.html},
  timestamp    = {Sat, 09 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/ZhaoKZRL18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/nips/YangZDHCSL18,
  author       = {Zhilin Yang and
                  Junbo Jake Zhao and
                  Bhuwan Dhingra and
                  Kaiming He and
                  William W. Cohen and
                  Ruslan Salakhutdinov and
                  Yann LeCun},
  editor       = {Samy Bengio and
                  Hanna M. Wallach and
                  Hugo Larochelle and
                  Kristen Grauman and
                  Nicol{\`{o}} Cesa{-}Bianchi and
                  Roman Garnett},
  title        = {GLoMo: Unsupervised Learning of Transferable Relational Graphs},
  booktitle    = {Advances in Neural Information Processing Systems 31: Annual Conference
                  on Neural Information Processing Systems 2018, NeurIPS 2018, December
                  3-8, 2018, Montr{\'{e}}al, Canada},
  pages        = {8964--8975},
  year         = {2018},
  url          = {https://proceedings.neurips.cc/paper/2018/hash/5dbc8390f17e019d300d5a162c3ce3bc-Abstract.html},
  timestamp    = {Mon, 16 May 2022 15:41:51 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/YangZDHCSL18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1806-05662,
  author       = {Zhilin Yang and
                  Junbo Jake Zhao and
                  Bhuwan Dhingra and
                  Kaiming He and
                  William W. Cohen and
                  Ruslan Salakhutdinov and
                  Yann LeCun},
  title        = {GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations},
  journal      = {CoRR},
  volume       = {abs/1806.05662},
  year         = {2018},
  url          = {http://arxiv.org/abs/1806.05662},
  eprinttype    = {arXiv},
  eprint       = {1806.05662},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1806-05662.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/iclr/ZhaoML17,
  author       = {Junbo Jake Zhao and
                  Micha{\"{e}}l Mathieu and
                  Yann LeCun},
  title        = {Energy-based Generative Adversarial Networks},
  booktitle    = {5th International Conference on Learning Representations, {ICLR} 2017,
                  Toulon, France, April 24-26, 2017, Conference Track Proceedings},
  publisher    = {OpenReview.net},
  year         = {2017},
  url          = {https://openreview.net/forum?id=ryh9pmcee},
  timestamp    = {Thu, 25 Jul 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/iclr/ZhaoML17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/ZhaoKZRL17,
  author       = {Junbo Jake Zhao and
                  Yoon Kim and
                  Kelly Zhang and
                  Alexander M. Rush and
                  Yann LeCun},
  title        = {Adversarially Regularized Autoencoders for Generating Discrete Structures},
  journal      = {CoRR},
  volume       = {abs/1706.04223},
  year         = {2017},
  url          = {http://arxiv.org/abs/1706.04223},
  eprinttype    = {arXiv},
  eprint       = {1706.04223},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/ZhaoKZRL17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1711-04994,
  author       = {Mikael Henaff and
                  Junbo Jake Zhao and
                  Yann LeCun},
  title        = {Prediction Under Uncertainty with Error-Encoding Networks},
  journal      = {CoRR},
  volume       = {abs/1711.04994},
  year         = {2017},
  url          = {http://arxiv.org/abs/1711.04994},
  eprinttype    = {arXiv},
  eprint       = {1711.04994},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1711-04994.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/nips/MathieuZZRSL16,
  author       = {Micha{\"{e}}l Mathieu and
                  Junbo Jake Zhao and
                  Pablo Sprechmann and
                  Aditya Ramesh and
                  Yann LeCun},
  editor       = {Daniel D. Lee and
                  Masashi Sugiyama and
                  Ulrike von Luxburg and
                  Isabelle Guyon and
                  Roman Garnett},
  title        = {Disentangling factors of variation in deep representation using adversarial
                  training},
  booktitle    = {Advances in Neural Information Processing Systems 29: Annual Conference
                  on Neural Information Processing Systems 2016, December 5-10, 2016,
                  Barcelona, Spain},
  pages        = {5041--5049},
  year         = {2016},
  url          = {https://proceedings.neurips.cc/paper/2016/hash/ef0917ea498b1665ad6c701057155abe-Abstract.html},
  timestamp    = {Mon, 16 May 2022 15:41:51 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/MathieuZZRSL16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/ZhaoML16,
  author       = {Junbo Jake Zhao and
                  Micha{\"{e}}l Mathieu and
                  Yann LeCun},
  title        = {Energy-based Generative Adversarial Network},
  journal      = {CoRR},
  volume       = {abs/1609.03126},
  year         = {2016},
  url          = {http://arxiv.org/abs/1609.03126},
  eprinttype    = {arXiv},
  eprint       = {1609.03126},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/ZhaoML16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/MathieuZSRL16,
  author       = {Micha{\"{e}}l Mathieu and
                  Junbo Jake Zhao and
                  Pablo Sprechmann and
                  Aditya Ramesh and
                  Yann LeCun},
  title        = {Disentangling factors of variation in deep representations using adversarial
                  training},
  journal      = {CoRR},
  volume       = {abs/1611.03383},
  year         = {2016},
  url          = {http://arxiv.org/abs/1611.03383},
  eprinttype    = {arXiv},
  eprint       = {1611.03383},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/MathieuZSRL16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/nips/ZhangZL15,
  author       = {Xiang Zhang and
                  Junbo Jake Zhao and
                  Yann LeCun},
  editor       = {Corinna Cortes and
                  Neil D. Lawrence and
                  Daniel D. Lee and
                  Masashi Sugiyama and
                  Roman Garnett},
  title        = {Character-level Convolutional Networks for Text Classification},
  booktitle    = {Advances in Neural Information Processing Systems 28: Annual Conference
                  on Neural Information Processing Systems 2015, December 7-12, 2015,
                  Montreal, Quebec, Canada},
  pages        = {649--657},
  year         = {2015},
  url          = {https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html},
  timestamp    = {Mon, 16 May 2022 15:41:51 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/ZhangZL15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/ZhaoMGL15,
  author       = {Junbo Jake Zhao and
                  Micha{\"{e}}l Mathieu and
                  Ross Goroshin and
                  Yann LeCun},
  title        = {Stacked What-Where Auto-encoders},
  journal      = {CoRR},
  volume       = {abs/1506.02351},
  year         = {2015},
  url          = {http://arxiv.org/abs/1506.02351},
  eprinttype    = {arXiv},
  eprint       = {1506.02351},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/ZhaoMGL15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/ZhangZL15,
  author       = {Xiang Zhang and
                  Junbo Jake Zhao and
                  Yann LeCun},
  title        = {Character-level Convolutional Networks for Text Classification},
  journal      = {CoRR},
  volume       = {abs/1509.01626},
  year         = {2015},
  url          = {http://arxiv.org/abs/1509.01626},
  eprinttype    = {arXiv},
  eprint       = {1509.01626},
  timestamp    = {Fri, 13 Mar 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/ZhangZL15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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