PPaperPicks

Jae-Gil Lee

Korea Advanced Institute of Science and Technology (KAIST), Data Mining Lab, Daejeon, Korea

16 papers at tracked venues · 14 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. Active Learning for Continual Learning: Keeping the Past Alive in the Present
  2. Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
  3. Bi-Modal Learning for Networked Time Series
  4. MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
  5. Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label Shifts
  6. Mobility Networked Time-Series Forecasting Benchmark Datasets
  7. RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
  8. Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation
  9. VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
  10. Active Prompt Learning in Vision Language Models
  11. Adaptive Shortcut Debiasing for Online Continual Learning
  12. Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection
  13. Exploiting Representation Curvature for Boundary Detection in Time Series
  14. One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
  15. Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate
  16. Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise