Seunghyun Lee
14 papers · 2020–2026 · 10 venues · across top CS/AI venues
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Research topics
Machine Learning
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Artificial Intelligence
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Deep Learning
(8)
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Learning Types Β· Deep Learning
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Learning Types Β· Machine Learning
(5)
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Computer Vision
(2)
Natural Language Processing
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Reinforcement Learning
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Keywords
diffusion model
(3)
model compression
(2)
knowledge distillation
(2)
representation learning
(1)
offline reinforcement learning
(1)
image generation
(1)
few-shot learning
(1)
principal component analysis
(1)
neuromorphic computing
(1)
task clustering
(1)
question generation
(1)
efficient computing
(1)
energy efficiency
(1)
gradient descent
(1)
model-based reinforcement learning
(1)
pose estimation
(1)
generalization ability
(1)
multi-agent planning
(1)
hyperparameter tuning
(1)
multi-task learning
(1)
Papers
Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition
WACV 2026
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science
ACL 2026
Joint Learning of Pose Regression and Denoising Diffusion with Score Scaling Sampling for Category-level 6D Pose Estimation
ICCV 2025
BIPED: Pedagogically Informed Tutoring System for ESL Education
ACL 2024
SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation
NeurIPS 2024
Addressing Negative Transfer in Diffusion Models
NeurIPS 2023
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion
ICCV 2023
Towards Practical Plug-and-Play Diffusion Models
CVPR 2023
Contextual Gradient Scaling for Few-Shot Learning
WACV 2022
Ensemble Knowledge Guided Sub-network Search and Fine-Tuning for Filter Pruning
ECCV 2022
Evaluating the Knowledge Dependency of Questions
EMNLP 2022
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network
AAAI 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
CoRL 2021
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
ICML 2020