| 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 | 14* | 2022 |
| Why In-Context Learning Transformers are Tabular Data Classifiers F Breejen, S Bae, S Cha, SY Yun arXiv preprint arXiv:2405.13396, 2024 | 1* | 2024 |
| Short-term Particulate Matter Prediction Framework via Numerical Model Calibration S Cha, S Kim, M Kim, S Bae, SY Yun 한국정보과학회 학술발표논문집, 901-903, 2023 | 1 | 2023 |
| Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning F Breejen, S Bae, S Cha, TY Kim, SH Koh, SY Yun NeurIPS 2023 Workshop (arXiv preprint arXiv:2311.07343), 2023 | 1* | 2023 |
| Utilizing Sparse Observations For Short-term Particulate Matter Prediction via Numerical Model Calibration S Cha, S Kim, M Kim, S Bae, N Ho, SY Yun 한국정보과학회 학술발표논문집, 1164-1166, 2024 | | 2024 |
| Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiers. F den Breejen, S Bae, S Cha, SY Yun | | |
Se Young YunKAISTVerified email at kaist.ac.kr
