DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games H Lee, D Hwang, H Kim, B Lee, J Choo Proceedings of the ACM Web Conference 2022, 3428-3439, 2022 | 15 | 2022 |
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 | 12 | 2021 |
Learning to Discover Skills through Guidance H Kim, BKUN LEE, H Lee, D Hwang, S Park, K Min, J Choo Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments R Deffayet, T Thonet, D Hwang, V Lehoux, JM Renders, M de Rijke ACM Transactions on Recommender Systems 2 (3), 1-34, 2024 | 6 | 2024 |
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems H Lee, D Hwang, K Min, J Choo Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 6 | 2022 |
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 International Conference on Machine Learning, 18988-19009, 2023 | 5 | 2023 |
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning D Kim, H Lee, K Lee, D Hwang, J Choo Forty-first International Conference on Machine Learning, 2024 | 2 | 2024 |
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning H Lee, D Hwang, D Kim, H Kim, JJ Tai, K Subramanian, PR Wurman, ... arXiv preprint arXiv:2410.09754, 2024 | 1 | 2024 |
Do's and Don'ts: Learning Desirable Skills with Instruction Videos H Kim, B Lee, H Lee, D Hwang, D Kim, J Choo arXiv preprint arXiv:2406.00324, 2024 | 1 | 2024 |
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control D Hwang, B Lee, H Lee, H Kim, J Choo Forty-first International Conference on Machine Learning, 2024 | | 2024 |