Calculated based on number of publications stored in Pure and citations from Scopus
20142025

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  • 2025

    Enhancing Visual Classification Using Comparative Descriptors

    Lee, H., Seo, G., Choi, W., Jung, G., Song, K. & Jung, J., 2025, Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025. Institute of Electrical and Electronics Engineers Inc., p. 5274-5283 10 p. (Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Online Continuous Generalized Category Discovery

    Park, K. H., Lee, H., Song, K. & Park, G. M., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 53-69 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15139 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2024

    CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text

    Lee, H., Park, K. H., Byun, H., Yeom, J., Kim, J., Park, G. M. & Song, K., 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 14866-14882 17 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer

    Jung, H., Oh, C., Kang, J., Sohn, J., Song, K., Kim, J. & Mortensen, D. R., 2024, MRL 2024 - 4th Workshop on Multilingual Representation Learning, Proceedings of the Workshop. Saleva, J. & Owodunni, A. (eds.). Association for Computational Linguistics (ACL), p. 200-211 12 p. (MRL 2024 - 4th Workshop on Multilingual Representation Learning, Proceedings of the Workshop).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments

    Lee, H., Byun, H., Oh, C., Bak, J. Y. & Song, K., 2024 Oct 16, ECAI 2024 - 27th European Conference on Artificial Intelligence, Including 13th Conference on Prestigious Applications of Intelligent Systems, PAIS 2024, Proceedings. Endriss, U., Melo, F. S., Bach, K., Bugarin-Diz, A., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). IOS Press BV, p. 2066-2073 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 392).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 2023

    BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning

    Oh, C., Hwang, H., Lee, H. Y., Lim, Y. T., Jung, G., Jung, J., Choi, H. & Song, K., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 24224-24235 12 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    31 Citations (Scopus)
  • Causally Disentangled Generative Variational AutoEncoder

    An, S. H., Song, K. & Jeon, J. J., 2023 Sept 28, ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings. Gal, K., Gal, K., Nowe, A., Nalepa, G. J., Fairstein, R. & Radulescu, R. (eds.). IOS Press BV, p. 93-100 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 372).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    1 Citation (Scopus)
  • Geodesic Multi-Modal Mixup for Robust Fine-Tuning

    Oh, C., So, J., Byun, H., Lim, Y. T., Shin, M., Jeon, J. J. & Song, K., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Citations (Scopus)
  • 2022

    Learning Fair Representation via Distributional Contrastive Disentanglement

    Oh, C., Won, H., So, J., Kim, T., Kim, Y., Choi, H. & Song, K., 2022 Aug 14, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1295-1305 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    28 Citations (Scopus)
  • Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation

    Jang, J. H., Na, B., Shin, D. H., Ji, M., Song, K. & Moon, I. C., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    32 Citations (Scopus)
  • 2021

    Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder

    Kim, H., Shin, S., Jang, J. H., Song, K., Joo, W., Kang, W. & Moon, I. C., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 8128-8136 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 9B).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    36 Citations (Scopus)
  • Implicit Kernel Attention

    Song, K., Jung, Y., Kim, D. & Moon, I. C., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 9713-9721 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 11A).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    7 Citations (Scopus)
  • LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning

    Kim, Y. Y., Song, K., Jang, J. & Moon, I. C., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 22919-22930 12 p. (Advances in Neural Information Processing Systems; vol. 27).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    23 Citations (Scopus)
  • 2020

    Bivariate beta-LSTM

    Song, K., Jang, J. H., Shin, S. J. & Moon, I. C., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 5818-5825 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)
  • Context aware sequence model

    Song, K., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 5208-5209 2 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Deep Generative Positive-Unlabeled Learning under Selection Bias

    Na, B., Kim, H., Song, K., Joo, W., Kim, Y. Y. & Moon, I. C., 2020 Oct 19, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1155-1164 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    17 Citations (Scopus)
  • Hierarchically clustered representation learning

    Shin, S. J., Song, K. & Moon, I. C., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 5776-5783 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    8 Citations (Scopus)
  • Neutralizing gender bias in word embeddings with latent disentanglement and counterfactual generation

    Shin, S., Song, K., Jang, J. H., Kim, H., Joo, W. & Moon, I. C., 2020, Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020. Association for Computational Linguistics (ACL), p. 3126-3140 15 p. (Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Citations (Scopus)
  • Sequential recommendation with relation-aware kernelized self-attention

    Ji, M., Joo, W., Song, K., Kim, Y. Y. & Moon, I. C., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 4304-4311 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    23 Citations (Scopus)
  • 2019

    Adversarial dropout for recurrent neural networks

    Park, S., Song, K., Ji, M., Lee, W. & Moon, I. C., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 4699-4706 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    2 Citations (Scopus)
  • Hierarchical context enabled recurrent neural network for recommendation

    Song, K., Ji, M., Park, S. & Moon, I. C., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 4983-4991 9 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    27 Citations (Scopus)
  • 2018

    Ballistic coefficient estimation with Gaussian process particle filter

    Moon, I. C., Tak, J., Kim, S. H. & Song, K., 2018 Dec 10, International Conference on Control, Automation and Systems. IEEE Computer Society, p. 776-780 5 p. 8571994. (International Conference on Control, Automation and Systems; vol. 2018-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Neural ideal point estimation network

    Song, K., Lee, W. & Moon, I. C., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 2411-2418 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)
  • 2017

    Augmented variational autoencoders for collaborative filtering with auxiliary information

    Lee, W., Song, K. & Moon, I. C., 2017 Nov 6, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1139-1148 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    58 Citations (Scopus)
  • 2016

    Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles

    Song, K., Kim, S. H., Tak, J., Choi, H. L. & Moon, I. C., 2016 Aug 1, FUSION 2016 - 19th International Conference on Information Fusion, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 17-24 8 p. 7527864. (FUSION 2016 - 19th International Conference on Information Fusion, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)