Hankook Lee
18 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Machine Learning
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Deep Learning
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representation learning
(6)
self-supervised learning
(4)
contrastive learning
(4)
few-shot learning
(3)
transfer learning
(2)
data augmentation
(2)
graph neural network
(2)
diffusion model
(2)
out-of-distribution detection
(2)
few-shot classification
(2)
knowledge distillation
(2)
deep neural network
(2)
online learning
(1)
model selection
(1)
semantic segmentation
(1)
adversarial robustness
(1)
continual learning
(1)
transformer architecture
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multi-task learning
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anomaly detection
(1)
Papers
A Debiased Reconstruction-based Framework for Training-Free Detection of AI-Generated Images
CVPR 2026
AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection
EACL 2026
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
AAAI 2025
Learning Equi-angular Representations for Online Continual Learning
CVPR 2024
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck
CVPR 2023
Guiding Energy-based Models via Contrastive Latent Variables
ICLR 2023
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
NeurIPS 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
ICLR 2023
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
ICLR 2023
Meta-Learning with Self-Improving Momentum Target
NeurIPS 2022
Patch-Level Representation Learning for Self-Supervised Vision Transformers
CVPR 2022
GTA: Graph Truncated Attention for Retrosynthesis
AAAI 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
NeurIPS 2021
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning
IJCAI 2021
Self-Improved Retrosynthetic Planning
ICML 2021
Guiding Deep Molecular Optimization with Genetic Exploration
NeurIPS 2020
Self-supervised Label Augmentation via Input Transformations
ICML 2020
Learning What and Where to Transfer
ICML 2019