| Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation T Kim*, J Oh*, NY Kim, S Cho, SY Yun IJCAI 2021, 2021 | 94 | 2021 |
| FINE Samples for Learning with Noisy Labels T Kim*, J Ko*, J Choi, S Cho, SY Yun NeurIPS 2021, 2021 | 54 | 2021 |
| A Survey of Supernet Optimization and its Applications: Spatial and Temporal Optimization for Neural Architecture Search S Cha, T Kim, H Lee, SY Yun arXiv preprint arXiv:2204.03916, 2022 | 7* | 2022 |
| Accurate and fast federated learning via combinatorial multi-armed bandits T Kim*, S Bae*, J Lee, S Yun arXiv, 2020 | 7 | 2020 |
| Revisiting orthogonality regularization: a study for convolutional neural networks in image classification T Kim, SY Yun IEEE Access 10, 69741-69749, 2022 | 5 | 2022 |
| Efficient Model for Image Classification With Regularization Tricks T Kim, J Kim, S Yun NeurIPS 2019 Competition and Demonstration Track (PMLR 123), 2020 | 3 | 2020 |
| Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition T Kim, S Kang, H Shin, D Yoon, S Eom, K Shin, SY Yun NeurIPS 2022 Workshop: Weather4Cast Competition, 2022 | 2 | 2022 |
| Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search T Kim, H Myeong, SY Yun ICML 2022 Workshop: Hardware Aware Efficient Training (HAET), 2022 | 2 | 2022 |
| Adaptive Local Bayesian Optimization Over Multiple Discrete Variables T Kim*, J Ahn*, N Kim*, S Yun NeurIPS 2020 Workshop at Competition Track: Black-Box Optimization Challenge, 2020 | 2 | 2020 |
| Layover Intermediate Layer for Multi-Label Classification in Efficient Transfer Learning S Eom, T Kim, SY Yun NeurIPS 2022 Workshop: Has it Trained Yet?, 2022 | 1 | 2022 |
| Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction T Kim*, N Ho*, D Kim, SY Yun arXiv, 2022 | 1 | 2022 |
| Supernet Training for Federated Image Classification under System Heterogeneity T Kim, SY Yun ICML 2022 Workshop: Dynamic Neural Networks (Oral), 2022 | 1 | 2022 |
| Trust-region aware neural network architecture search for knowledge distillation T Kim, H Myeong US Patent App. 17/986,803, 2023 | | 2023 |
| Revisiting the Activation Function for Federated Image Classification J Shin, T Kim, SY Yun NeurIPS 2022 Workshop: Federated Learning, 2022 | | 2022 |
| Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts A Gruca, F Serva, L Lliso, P Rípodas, X Calbet, P Herruzo, J Pihrt, ... NeurIPS 2022 Competition Track, 292-313, 2022 | | 2022 |
| Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces J Ahn, T Kim, S Yun arXiv, 2022 | | 2022 |
| The Unified Framework for Efficient Deep Learning Computer Vision Model S Park, J Oh, T Kim, SY Yun KCC, 540-542, 2021 | | 2021 |
| Orthogonal feature regularization T Kim Thesis: Korea Advanced Institute of Science and Technology (KAIST), 2020 | | 2020 |
Se Young YunKAISTVerified email at kaist.ac.kr
