Taeuk Jang
10 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (25) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (6)
π
Interdisciplinary Bridge
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Dynamic Duo
(10)
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Century Club
(10)
π₯
Unstoppable
(5)
Conferences
AAAI (3)
CVPR (2)
NIPS (2)
AISTATS (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
adversarial learning
(2)
model debiasing
(2)
fair representation
(2)
vision-language model
(2)
bias mitigation
(2)
fair representation learning
(2)
demographic parity
(2)
self-supervised learning
(1)
domain adaptation
(1)
zero-shot learning
(1)
fair classification
(1)
conditional mutual information
(1)
confusion matrix
(1)
generative model
(1)
machine learning fairness
(1)
synthetic data generation
(1)
algorithmic fairness
(1)
vision language model
(1)
latent space
(1)
multimodal learning
(1)
Papers
Target Bias Is All You Need: Zero-Shot Debiasing of Vision-Language Models with Bias Corpus
ICCV 2025
On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness
ICML 2025
Adversarial Fairness Network
AAAI 2024
Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning
AISTATS 2024
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
NIPS 2024
FADES: Fair Disentanglement with Sensitive Relevance
CVPR 2024
Difficulty-Based Sampling for Debiased Contrastive Representation Learning
CVPR 2023
Group-Aware Threshold Adaptation for Fair Classification
AAAI 2022
Fairness without Demographics through Knowledge Distillation
NIPS 2022
Constructing a Fair Classifier with Generated Fair Data
AAAI 2021