| Standardized max logits: A simple yet effective approach for identifying unexpected road obstacles in urban-scene segmentation S Jung, J Lee, D Gwak, S Choi, J Choo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 81 | 2021 |
| Neural ordinary differential equations for intervention modeling D Gwak, G Sim, M Poli, S Massaroli, J Choo, E Choi arXiv preprint arXiv:2010.08304, 2020 | 14 | 2020 |
| 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 Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Natural attribute-based shift detection J Park, J Hong, R Dua, D Gwak, Y Li, J Choo, E Choi arXiv preprint arXiv:2110.09276, 2021 | 3 | 2021 |
| Conditional generation of periodic signals with fourier-based decoder J Lee, W Kim, D Gwak, E Choi arXiv preprint arXiv:2110.12365, 2021 | 2 | 2021 |
| Self-Supervised Contrastive Forecasting J Park, D Gwak, J Choo, E Choi arXiv preprint arXiv:2402.02023, 2024 | | 2024 |
| Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning H Lee, H Cho, H Kim, D Gwak, J Kim, J Choo, SY Yun, C Yun arXiv preprint arXiv:2306.10711, 2023 | | 2023 |
| Decoupled Kernel Neural Processes: Neural Network-Parameterized Stochastic Processes using Explicit Data-driven Kernel D Gwak, G Lee, J Lee, J Choi, J Choo, E Choi | | 2021 |
| Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment J Park, K Jo, D Gwak, J Hong, J Choo, E Choi arXiv preprint arXiv:2011.13120, 2020 | | 2020 |
