| Moi-mixer: Improving mlp-mixer with multi order interactions in sequential recommendation H Lee, D Hwang, S Hong, C Kim, S Kim, J Choo arXiv preprint arXiv:2108.07505, 2021 | 11 | 2021 |
| DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games H Lee, D Hwang, H Kim, B Lee, J Choo WWW '22: Proceedings of the ACM Web Conference 2022, 3428-3439, 2022 | 7 | 2022 |
| Enemy Spotted: in-game gun sound dataset for gunshot classification and localization J Park, Y Cho, G Sim, H Lee, J Choo CoG'22: IEEE Conference on Games (CoG) 2022, 56-63, 2022 | 6 | 2022 |
| PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning H Lee, H Cho, H Kim, D Gwak, J Kim, J Choo, SY Yun, C Yun Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 5 | 2023 |
| St-rap: A spatio-temporal framework for real estate appraisal H Lee, H Jeong, B Lee, KD Lee, J Choo Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 2 | 2023 |
| On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning H Lee, K Lee, D Hwang, H Lee, B Lee, J Choo ICML 2023 (arXiv:2306.05637), 2023 | 2 | 2023 |
| Towards validating long-term user feedbacks in interactive recommendation systems H Lee, D Hwang, K Min, J Choo SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on …, 2022 | 2 | 2022 |
| Learning to Discover Skills through Guidance H Kim, B Lee, H Lee, D Hwang, S Park, K Min, J Choo NeurIPS 2023 (arXiv:2310.20178), 2023 | 1 | 2023 |
| Learning representations by contrasting clusters while bootstrapping instances J Lee, H Lee, I Shin, J Bae, IS Kweon, J Choo | 1 | 2020 |
| JORLDY: a fully customizable open source framework for reinforcement learning K Min, H Lee, K Shin, T Lee, H Lee, J Choi, S Son arXiv preprint arXiv:2204.04892, 2022 | | 2022 |
Jaegul ChooAssociate Professor, Graduate School of Artificial Intelligence, KAISTkaist.ac.kr의 이메일 확인됨
