Sangwon Jung
9 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
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Trend Setter
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β
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Application Areas
(7)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI Β· Artificial Intelligence
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Reinforcement Learning
(1)
Core AI Β· Computer Vision
(1)
Core Methods
(1)
Generation
(1)
Methods
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
group fairness
(3)
continual learning
(3)
knowledge distillation
(2)
algorithmic fairness
(2)
bias mitigation
(2)
reward model
(1)
fairness metric
(1)
contrastive learning
(1)
generative model
(1)
distributionally robust optimization
(1)
catastrophic forgetting
(1)
partial annotation
(1)
text-to-image model
(1)
spurious correlation
(1)
group sparsity
(1)
image classification
(1)
accuracy-fairness tradeoff
(1)
counterfactual fairness
(1)
latent attribute
(1)
representation learning
(1)
Papers
Multi-Group Proportional Representations for Text-to-Image Models
CVPR 2025
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
ICLR 2024
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
NeurIPS 2024
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
ICML 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
NeurIPS 2020