Lee, Jae-Gil

22 publications

ICLR 2025 Active Learning for Continual Learning: Keeping the past Alive in the Present Jaehyun Park, Dongmin Park, Jae-Gil Lee

ICLR 2025 RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song, Jae-Gil Lee

NeurIPS 2025 Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation Byunghyun Kim, Minyoung Bae, Jae-Gil Lee

MLJ 2025 TFAS: Zero-Shot NAS for General Time-Series Analysis with Time-Frequency Aware Scoring Patara Trirat, Jae-Gil Lee

AAAI 2025 VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting Junhyeok Kang, Yooju Shin, Jae-Gil Lee

CVPR 2024 Active Prompt Learning in Vision Language Models Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee

AAAI 2024 Adaptive Shortcut Debiasing for Online Continual Learning Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee

NeurIPS 2024 Exploiting Representation Curvature for Boundary Detection in Time Series Yooju Shin, Jaehyun Park, Hwanjun Song, Susik Yoon, Byung Suk Lee, Jae-Gil Lee

ICML 2024 One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee

AAAI 2024 Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy Against Imbalance and Noise Hwanjun Song, Minseok Kim, Jae-Gil Lee

AAAI 2023 AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series Patara Trirat, Youngeun Nam, Taeyoon Kim, Jae-Gil Lee

ICML 2023 Context Consistency Regularization for Label Sparsity in Time Series Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee

ECML-PKDD 2023 Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses Youngeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee

NeurIPS 2023 Robust Data Pruning Under Label Noise via Maximizing Re-Labeling Accuracy Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee

AAAI 2022 COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee

ICLR 2022 Coherence-Based Label Propagation over Time Series for Accelerated Active Learning Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee

AAAI 2022 Meta-Learning for Online Update of Recommender Systems Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee

NeurIPS 2022 Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-Set Active Learning Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee

AAAI 2021 PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee

NeurIPS 2021 Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee

MLJ 2020 Ada-Boundary: Accelerating DNN Training via Adaptive Boundary Batch Selection Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee

ICML 2019 SELFIE: Refurbishing Unclean Samples for Robust Deep Learning Hwanjun Song, Minseok Kim, Jae-Gil Lee