Jae-Gil Lee
22 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(18)
Deep Learning
(12)
Learning Types Β· Machine Learning
(12)
Artificial Intelligence
(11)
Application Areas
(11)
Core AI
(8)
Data Science & Analytics
(7)
Core Methods
(5)
Learning Types Β· Deep Learning
(5)
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Learning Paradigms Β· Machine Learning
(2)
Keywords
active learning
(3)
vision-language model
(3)
label noise
(3)
continual learning
(2)
time series
(2)
catastrophic forgetting
(2)
large language model
(2)
time series classification
(2)
semi-supervised learning
(2)
recommender system
(2)
data augmentation
(2)
class imbalance
(2)
deep neural network
(2)
anomaly detection
(1)
domain adaptation
(1)
online learning
(1)
efficient training
(1)
model compression
(1)
multi-task learning
(1)
attention mechanism
(1)
Papers
Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling
CVPR 2026
QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval
ACL 2026
See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
CVPR 2026
Active Learning for Continual Learning: Keeping the Past Alive in the Present
ICLR 2025
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
EMNLP 2025
RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
ICLR 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
AAAI 2025
Active Prompt Learning in Vision Language Models
CVPR 2024
Adaptive Shortcut Debiasing for Online Continual Learning
AAAI 2024
Exploiting Representation Curvature for Boundary Detection in Time Series
NeurIPS 2024
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
ICML 2024
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise
AAAI 2024
AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series
AAAI 2023
Context Consistency Regularization for Label Sparsity in Time Series
ICML 2023
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
NeurIPS 2023
Coherence-based Label Propagation over Time Series for Accelerated Active Learning
ICLR 2022
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
AAAI 2022
Meta-Learning for Online Update of Recommender Systems
AAAI 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
NeurIPS 2022
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
AAAI 2021
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
NeurIPS 2021
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning
ICML 2019