| Deepstory: Video story qa by deep embedded memory networks KM Kim, MO Heo, SH Choi, BT Zhang arXiv preprint arXiv:1707.00836, 2017 | 214 | 2017 |
| Multimodal Dual Attention Memory for Video Story Question Answering Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang European Conference on Computer Vision, 2018 | 97* | 2018 |
| Self-supervised auxiliary learning with meta-paths for heterogeneous graphs D Hwang, J Park, S Kwon, KM Kim, JW Ha, HJ Kim Advances in Neural Information Processing Systems 33, 10294-10305, 2020 | 88 | 2020 |
| Metropolis-hastings data augmentation for graph neural networks H Park, S Lee, S Kim, J Park, J Jeong, KM Kim, JW Ha, HJ Kim Advances in Neural Information Processing Systems 34, 19010-19020, 2021 | 60 | 2021 |
| Automated construction of visual-linguistic knowledge via concept learning from cartoon videos JW Ha, KM Kim, BT Zhang Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 47 | 2015 |
| Scaling law for recommendation models: Towards general-purpose user representations K Shin, H Kwak, SY Kim, MN Ramström, J Jeong, JW Ha, KM Kim Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4596-4604, 2023 | 36 | 2023 |
| One4all user representation for recommender systems in e-commerce K Shin, H Kwak, KM Kim, M Kim, YJ Park, J Jeong, S Jung arXiv preprint arXiv:2106.00573, 2021 | 28 | 2021 |
| Social network analysis of TV drama characters via deep concept hierarchies CJ Nan, KM Kim, BT Zhang Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 26 | 2015 |
| Pororobot: a deep learning robot that plays video Q&A games KM Kim, CJ Nan, JW Ha, YJ Heo, BT Zhang 2015 AAAI fall symposium series, 2015 | 24 | 2015 |
| Direct preference-based policy optimization without reward modeling G An, J Lee, X Zuo, N Kosaka, KM Kim, HO Song Advances in Neural Information Processing Systems 36, 70247-70266, 2023 | 22 | 2023 |
| Tripartite heterogeneous graph propagation for large-scale social recommendation KM Kim, D Kwak, H Kwak, YJ Park, S Sim, JH Cho, M Kim, J Kwon, ... arXiv preprint arXiv:1908.02569, 2019 | 20 | 2019 |
| Know your action set: Learning action relations for reinforcement learning A Jain, N Kosaka, KM Kim, JJ Lim International Conference on Learning Representations, 2021 | 18 | 2021 |
| Ask me what you need: Product retrieval using knowledge from gpt-3 SY Kim, H Park, K Shin, KM Kim arXiv preprint arXiv:2207.02516, 2022 | 12 | 2022 |
| Deformable graph transformer J Park, S Yun, H Park, J Kang, J Jeong, KM Kim, JW Ha, HJ Kim arXiv preprint arXiv:2206.14337, 2022 | 11 | 2022 |
| Relation-aware language-graph transformer for question answering J Park, HK Choi, J Ko, H Park, JH Kim, J Jeong, K Kim, H Kim Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13457 …, 2023 | 10 | 2023 |
| Vq-ar: Vector quantized autoregressive probabilistic time series forecasting K Rasul, YJ Park, MN Ramström, KM Kim arXiv preprint arXiv:2205.15894, 2022 | 10 | 2022 |
| Self-supervised auxiliary learning for graph neural networks via meta-learning D Hwang, J Park, S Kwon, KM Kim, JW Ha, HJ Kim arXiv preprint arXiv:2103.00771, 2021 | 9 | 2021 |
| A worrying analysis of probabilistic time-series models for sales forecasting S Jung, KM Kim, H Kwak, YJ Park PMLR, 2020 | 8 | 2020 |
| Multi-manifold learning for large-scale targeted advertising system K Shin, YJ Park, KM Kim, S Kwon arXiv preprint arXiv:2007.02334, 2020 | 7 | 2020 |
| Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, and Jung-Woo Ha. 2019. Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation KM Kim, D Kwak, H Kwak, YJ Park arXiv preprint arXiv:1908.02569, 2019 | 7 | 2019 |