Sung Whan Yoon
11 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Academic Marathon (6) π Cross-Pollinator (8) πΊοΈ Taxonomy Completionist (22) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(6)
π
Century Club
(10)
π
Trend Setter
β
The Questioner
Conferences
ICML (3)
AAAI (2)
ICLR (2)
WACV (2)
AISTATS (1)
ICCV (1)
Top co-authors
Keywords
representation learning
(3)
few-shot learning
(3)
metric learning
(2)
flat minima
(2)
feature extraction
(1)
embedding space
(1)
model robustness
(1)
data augmentation
(1)
incremental learning
(1)
class-incremental learning
(1)
sharpness-aware minimization
(1)
margin maximization
(1)
distribution shift
(1)
generative model
(1)
generalization bound
(1)
diffusion model
(1)
inductive bia
(1)
task distribution
(1)
parameter initialization
(1)
multi-domain learning
(1)
Papers
A Flat Minima Perspective on Understanding Augmentations and Model Robustness
AAAI 2026
Can One Modality Model Synergize Training of Other Modality Models?
ICLR 2025
Understanding Flatness in Generative Models: Its Role and Benefits
ICCV 2025
Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning
ICLR 2025
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
MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning
WACV 2024
MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning
WACV 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