Sim, Ye Seul

9 publications

ICLR 2026 From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning Seungdong Yoa, Sanghyu Yoon, Suhee Yoon, Dongmin Kim, Ye Seul Sim, Junhyun Lee, Woohyung Lim

ICLR 2026 ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Sanghyu Yoon, Dongmin Kim, Suhee Yoon, Ye Seul Sim, Seungdong Yoa, Hye-Seung Cho, Soonyoung Lee, Hankook Lee, Woohyung Lim

AAAI 2025 Diffusion-Based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Hankook Lee, Woohyung Lim

AAAI 2025 Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data Moonjung Eo, Kyungeun Lee, Hye-Seung Cho, Dongmin Kim, Ye Seul Sim, Woohyung Lim

NeurIPSW 2024 AGATa: Attention-Guided Augmentation for Tabular Data in Contrastive Learning Moonjung Eo, Kyungeun Lee, Min-Kook Suh, Hye-Seung Cho, Ye Seul Sim, Woohyung Lim

ICML 2024 Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains Kyungeun Lee, Ye Seul Sim, Hyeseung Cho, Moonjung Eo, Suhee Yoon, Sanghyu Yoon, Woohyung Lim

NeurIPSW 2024 Learnable Numerical Input Normalization for Tabular Representation Learning Based on B-Splines Min-Kook Suh, Moonjung Eo, Ye Seul Sim, Woohyung Lim

NeurIPSW 2023 Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains Kyungeun Lee, Ye Seul Sim, Hyeseung Cho, Suhee Yoon, Sanghyu Yoon, Woohyung Lim

NeurIPSW 2023 Diffusion-Based Semantic-Discrepant Outlier Generation for Out-of-Distribution Detection Suhee Yoon, Sanghyu Yoon, Hankook Lee, Sangjun Han, Ye Seul Sim, Kyungeun Lee, Hyeseung Cho, Woohyung Lim