Taeuk Jang
10 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π€ Dynamic Duo (10) π Century Club Β· Bronze
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Research topics
Keywords
adversarial learning
(2)
model debiasing
(2)
fair representation
(2)
bias mitigation
(2)
demographic parity
(2)
fair representation learning
(2)
vision-language model
(2)
domain adaptation
(1)
algorithmic fairness
(1)
zero-shot learning
(1)
synthetic data generation
(1)
machine learning fairness
(1)
fair classification
(1)
conditional mutual information
(1)
fairness
(1)
multimodal learning
(1)
adversarial robustness
(1)
disentangled representation
(1)
fairness metric
(1)
generative model
(1)
Papers
On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness
ICML 2025
Target Bias Is All You Need: Zero-Shot Debiasing of Vision-Language Models with Bias Corpus
ICCV 2025
Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning
AISTATS 2024
Adversarial Fairness Network
AAAI 2024
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
NeurIPS 2024
FADES: Fair Disentanglement with Sensitive Relevance
CVPR 2024
Difficulty-Based Sampling for Debiased Contrastive Representation Learning
CVPR 2023
Fairness without Demographics through Knowledge Distillation
NeurIPS 2022
Group-Aware Threshold Adaptation for Fair Classification
AAAI 2022
Constructing a Fair Classifier with Generated Fair Data
AAAI 2021