"bias mitigation" Papers

14 papers found

Adversarial Latent Feature Augmentation for Fairness

Hoin Jung, Junyi Chai, Xiaoqian Wang

ICLR 2025poster
1
citations

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation

Yooshin Cho, Hanbyel Cho, Janghyeon Lee et al.

ICCV 2025posterarXiv:2507.20284

EvA: Erasing Spurious Correlations with Activations

Qiyuan He, Kai Xu, Angela Yao

ICLR 2025poster
1
citations

PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection

Mahdiyar Molahasani, Azadeh Motamedi, Michael Greenspan et al.

ICCV 2025posterarXiv:2507.08979
2
citations

Rethinking Fair Representation Learning for Performance-Sensitive Tasks

Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz et al.

ICLR 2025posterarXiv:2410.04120
5
citations

SEBRA : Debiasing through Self-Guided Bias Ranking

Adarsh Kappiyath, Abhra Chaudhuri, AJAY JAISWAL et al.

ICLR 2025posterarXiv:2501.18277
2
citations

Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation

Rohith Peddi, Saurabh ., Ayush Abhay Shrivastava et al.

CVPR 2025highlightarXiv:2411.13059
3
citations

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate

Yuancheng Xu, Chenghao Deng, Yanchao Sun et al.

ICML 2024oral

Discovering Bias in Latent Space: An Unsupervised Debiasing Approach

Dyah Adila, Shuai Zhang, Boran Han et al.

ICML 2024poster

Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning

Weilin Chen, Ruichu Cai, Zeqin Yang et al.

ICML 2024poster

FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization

Cheng Yang, Jixi Liu, Yunhe Yan et al.

AAAI 2024paperarXiv:2403.12474
33
citations

From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions

Trenton Chang, Jenna Wiens

ICML 2024poster

From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition

Maan Qraitem, Kate Saenko, Bryan Plummer

ECCV 2024posterarXiv:2308.04553
7
citations

Generalizing Orthogonalization for Models with Non-Linearities

David Rügamer, Chris Kolb, Tobias Weber et al.

ICML 2024poster