Sung Whan Yoon
12 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (25) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🏆 Keyword Champion (4)
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Topic Evolution
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Keyword Collector
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The Questioner
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Century Club · Bronze
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Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Learning Paradigms · Artificial Intelligence
(7)
Deep Learning
(5)
Core Methods
(4)
Optimization & Theory
(4)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Core AI · Artificial Intelligence
(2)
Learning Types · Machine Learning
(2)
Analysis
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
flat minima
(4)
representation learning
(4)
few-shot learning
(3)
metric learning
(2)
federated learning
(2)
sharpness-aware minimization
(2)
embedding space
(1)
reinforcement learning
(1)
model quantization
(1)
transfer learning
(1)
domain adaptation
(1)
feature extraction
(1)
incremental learning
(1)
model robustness
(1)
domain generalization
(1)
cross-modal learning
(1)
multimodal learning
(1)
data augmentation
(1)
knowledge distillation
(1)
feature learning
(1)
Papers
A Flat Minima Perspective on Understanding Augmentations and Model Robustness
AAAI 2026
Pose-guided Enriched Feature Learning for Federated-by-camera Person Re-identification
CVPR 2026
Can One Modality Model Synergize Training of Other Modality Models?
ICLR 2025
Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning
ICLR 2025
Understanding Flatness in Generative Models: Its Role and Benefits
ICCV 2025
MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning
WACV 2024
MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning
WACV 2024
Rethinking the Flat Minima Searching in Federated Learning
ICML 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage
AISTATS 2024
POEM: Polarization of Embeddings for Domain-Invariant Representations
AAAI 2023
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
ICML 2020
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
ICML 2019