Jungtaek Kim's Publications/Pre-prints/Manuscripts

  1. Minseop Park, Saehoon Kim, Jungtaek Kim, Yanbin Liu, and Seungjin Choi (2018),
    "TAEML: Task-adaptive ensemble of meta-learners",
    NIPS Workshop on Meta-Learning (MetaLearn-2018),
    Montreal, Quebec, Canada, December 8, 2018.
  2. Jungtaek Kim and Seungjin Choi (2018),
    "Automated machine learning for soft voting in an ensemble of tree-based classifiers",
    International Workshop on Automatic Machine Learning at ICML/IJCAI-ECAI (AutoML-2018),
    Stockholm, Sweden, July 14, 2018.
  3. Inhyuk Jo, Jungtaek Kim, Hyohyeong Kang, Yong-Deok Kim, and Seungjin Choi (2018),
    "Open set recognition by regularizing classifier with fake data generated by generative adversarial networks",
    in Proceedings of the Forty-Third IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2018),
    Calgary, Alberta, Canada, April 15-20, 2018.
  4. Jungtaek Kim and Seungjin Choi (2018),
    "Clustering-guided GP-UCB for Bayesian optimization",
    in Proceedings of the Forty-Third IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2018),
    Calgary, Alberta, Canada, April 15-20, 2018.
  5. Saehoon Kim, Jungtaek Kim, and Seungjin Choi (2018),
    "On the optimal bit complexity of circulant binary embedding",
    in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-2018),
    New Orleans, Louisiana, USA, February 2-7, 2018.
  6. Jungtaek Kim, Saehoon Kim, and Seungjin Choi (2017),
    "Learning to transfer initializations for Bayesian hyperparameter optimization",
    NIPS Workshop on Bayesian Optimization (BayesOpt-2017),
    Long Beach, California, USA, December 9, 2017.
  7. Jungtaek Kim, Saehoon Kim, and Seungjin Choi (2017),
    "Learning to warm-start Bayesian hyperparameter optimization",
    arXiv preprint arXiv:1710.06219, October 17, 2017.
  8. YunKyung Park, KyungDuk Moon, Jungtaek Kim, and Seungjin Choi (2016),
    "Recommendation method to make combined video from video segments",
    in Proceedings of the Eighth International Conference on Emerging Networks and Systems Intelligence (EMERGING-2016),
    Venice, Italy, October 9-13, 2016.
  9. Jungtaek Kim, Jongheon Jeong, and Seungjin Choi (2016),
    "AutoML Challenge: AutoML framework using random space partitioning optimizer",
    ICML Workshop on Automatic Machine Learning (AutoML-2016),
    New York, New York, USA, June 24, 2016.