Poster "bias mitigation" Papers
16 papers found
Conference
Adversarial Latent Feature Augmentation for Fairness
Hoin Jung, Junyi Chai, Xiaoqian Wang
ICLR 2025
1
citations
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition
Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah
ICLR 2025arXiv:2502.00156
3
citations
Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation
Yooshin Cho, Hanbyel Cho, Janghyeon Lee et al.
ICCV 2025arXiv:2507.20284
EvA: Erasing Spurious Correlations with Activations
Qiyuan He, Kai Xu, Angela Yao
ICLR 2025
1
citations
FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models
Zihao Fu, Ryan Brown, Shun Shao et al.
NEURIPS 2025arXiv:2510.21363
2
citations
PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection
Mahdiyar Molahasani, Azadeh Motamedi, Michael Greenspan et al.
ICCV 2025arXiv:2507.08979
2
citations
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz et al.
ICLR 2025arXiv:2410.04120
7
citations
SEBRA : Debiasing through Self-Guided Bias Ranking
Adarsh Kappiyath, Abhra Chaudhuri, AJAY JAISWAL et al.
ICLR 2025arXiv:2501.18277
2
citations
Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining
Nathan Stromberg, Christos Thrampoulidis, Lalitha Sankar
NEURIPS 2025arXiv:2506.20025
1
citations
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
Jeeyung Kim, Ze Wang, Qiang Qiu
ECCV 2024arXiv:2407.08947
6
citations
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
Dyah Adila, Shuai Zhang, Boran Han et al.
ICML 2024arXiv:2406.03631
14
citations
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
Weilin Chen, Ruichu Cai, Zeqin Yang et al.
ICML 2024arXiv:2405.03342
15
citations
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
Trenton Chang, Jenna Wiens
ICML 2024arXiv:2406.18865
1
citations
From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition
Maan Qraitem, Kate Saenko, Bryan Plummer
ECCV 2024arXiv:2308.04553
7
citations
Generalizing Orthogonalization for Models with Non-Linearities
David Rügamer, Chris Kolb, Tobias Weber et al.
ICML 2024arXiv:2405.02475
2
citations
ViG-Bias: Visually Grounded Bias Discovery and Mitigation
Badr-Eddine Marani, Mohamed HANINI, Nihitha Malayarukil et al.
ECCV 2024arXiv:2407.01996
2
citations