Sangwon Jung
9 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Academic Marathon (5) π Cross-Pollinator (9) πΊοΈ Taxonomy Completionist (18) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(4)
π
Triple Crown
π₯
Unstoppable
(6)
β
The Questioner
Conferences
CVPR (3)
ICLR (2)
ICML (2)
NIPS (2)
Top co-authors
Keywords
continual learning
(2)
bias mitigation
(2)
group fairness
(2)
algorithmic fairness
(2)
knowledge distillation
(2)
partial annotation
(1)
generative model
(1)
fairness metric
(1)
text-to-image model
(1)
counterfactual fairness
(1)
latent attribute
(1)
feature distillation
(1)
representational harm
(1)
dataset condensation
(1)
synthetic dataset
(1)
model fairness
(1)
demographic group
(1)
gradient matching
(1)
fair classifier
(1)
facial recognition
(1)
Papers
Multi-Group Proportional Representations for Text-to-Image Models
CVPR 2025
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
NIPS 2024
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
ICML 2024
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
ICLR 2024
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
ICLR 2023
Dataset Condensation with Contrastive Signals
ICML 2022
Learning Fair Classifiers With Partially Annotated Group Labels
CVPR 2022
Fair Feature Distillation for Visual Recognition
CVPR 2021
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
NIPS 2020