Saved in:
| Main Authors: | Katare, Dewant, Noguero, David Solans, Park, Souneil, Kourtellis, Nicolas, Janssen, Marijn, Ding, Aaron Yi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.10397 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
by: Katare, Dewant, et al.
Published: (2023)
by: Katare, Dewant, et al.
Published: (2023)
Data Heterogeneity and Forgotten Labels in Split Federated Learning
by: Tirana, Joana, et al.
Published: (2025)
by: Tirana, Joana, et al.
Published: (2025)
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning
by: Corbucci, Luca, et al.
Published: (2024)
by: Corbucci, Luca, et al.
Published: (2024)
Speech Robust Bench: A Robustness Benchmark For Speech Recognition
by: Shah, Muhammad A., et al.
Published: (2024)
by: Shah, Muhammad A., et al.
Published: (2024)
DSAP: Analyzing Bias Through Demographic Comparison of Datasets
by: Dominguez-Catena, Iris, et al.
Published: (2023)
by: Dominguez-Catena, Iris, et al.
Published: (2023)
Bias Mitigating Few-Shot Class-Incremental Learning
by: Zhao, Li-Jun, et al.
Published: (2024)
by: Zhao, Li-Jun, et al.
Published: (2024)
Mitigating Bias in Dataset Distillation
by: Cui, Justin, et al.
Published: (2024)
by: Cui, Justin, et al.
Published: (2024)
Analyzing and Mitigating Object Hallucination: A Training Bias Perspective
by: Li, Yifan, et al.
Published: (2025)
by: Li, Yifan, et al.
Published: (2025)
Language-guided Detection and Mitigation of Unknown Dataset Bias
by: Zhao, Zaiying, et al.
Published: (2024)
by: Zhao, Zaiying, et al.
Published: (2024)
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
by: Zhang, Wenyu, et al.
Published: (2024)
by: Zhang, Wenyu, et al.
Published: (2024)
Multi Attribute Bias Mitigation via Representation Learning
by: Dwivedi, Rajeev Ranjan, et al.
Published: (2025)
by: Dwivedi, Rajeev Ranjan, et al.
Published: (2025)
IndicFairFace: Balanced Indian Face Dataset for Auditing and Mitigating Geographical Bias in Vision-Language Models
by: Mohsin, Aarish Shah, et al.
Published: (2026)
by: Mohsin, Aarish Shah, et al.
Published: (2026)
Seeing Beyond the Scene: Analyzing and Mitigating Background Bias in Action Recognition
by: Zhou, Ellie, et al.
Published: (2025)
by: Zhou, Ellie, et al.
Published: (2025)
Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens
by: Zheng, Haohan, et al.
Published: (2025)
by: Zheng, Haohan, et al.
Published: (2025)
See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias
by: Kwon, JuneHyoung, et al.
Published: (2025)
by: Kwon, JuneHyoung, et al.
Published: (2025)
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
by: Hirota, Yusuke, et al.
Published: (2024)
by: Hirota, Yusuke, et al.
Published: (2024)
Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks
by: Shvetsova, Nina, et al.
Published: (2025)
by: Shvetsova, Nina, et al.
Published: (2025)
Analyzing and Mitigating Model Collapse in Rectified Flow Models
by: Zhu, Huminhao, et al.
Published: (2024)
by: Zhu, Huminhao, et al.
Published: (2024)
Mitigating Cross-modal Representation Bias for Multicultural Image-to-Recipe Retrieval
by: Wang, Qing, et al.
Published: (2025)
by: Wang, Qing, et al.
Published: (2025)
PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning
by: Jimenez-Gutierrez, Daniel-M., et al.
Published: (2025)
by: Jimenez-Gutierrez, Daniel-M., et al.
Published: (2025)
Mitigating Background Shift in Class-Incremental Semantic Segmentation
by: Park, Gilhan, et al.
Published: (2024)
by: Park, Gilhan, et al.
Published: (2024)
SAM-Enhanced Segmentation on Road Datasets: Balancing Critical Classes in Autonomous Driving
by: Tahves, Toomas, et al.
Published: (2026)
by: Tahves, Toomas, et al.
Published: (2026)
BAdd: Bias Mitigation through Bias Addition
by: Sarridis, Ioannis, et al.
Published: (2024)
by: Sarridis, Ioannis, et al.
Published: (2024)
Fairness and Bias Mitigation in Computer Vision: A Survey
by: Dehdashtian, Sepehr, et al.
Published: (2024)
by: Dehdashtian, Sepehr, et al.
Published: (2024)
Class Balance Matters to Active Class-Incremental Learning
by: Huang, Zitong, et al.
Published: (2024)
by: Huang, Zitong, et al.
Published: (2024)
Towards Mitigating Modality Bias in Vision-Language Models for Temporal Action Localization
by: Li, Jiaqi, et al.
Published: (2026)
by: Li, Jiaqi, et al.
Published: (2026)
SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability Defense
by: Huang, Yiyang, et al.
Published: (2025)
by: Huang, Yiyang, et al.
Published: (2025)
Optimizing Class Distributions for Bias-Aware Multi-Class Learning
by: Felske, Mirco, et al.
Published: (2025)
by: Felske, Mirco, et al.
Published: (2025)
ViG-Bias: Visually Grounded Bias Discovery and Mitigation
by: Marani, Badr-Eddine, et al.
Published: (2024)
by: Marani, Badr-Eddine, et al.
Published: (2024)
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
by: Park, Jeonghoon, et al.
Published: (2024)
by: Park, Jeonghoon, et al.
Published: (2024)
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation
by: Zhao, Shiji, et al.
Published: (2025)
by: Zhao, Shiji, et al.
Published: (2025)
MAVias: Mitigate any Visual Bias
by: Sarridis, Ioannis, et al.
Published: (2024)
by: Sarridis, Ioannis, et al.
Published: (2024)
Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making
by: Bagave, Prachi, et al.
Published: (2025)
by: Bagave, Prachi, et al.
Published: (2025)
Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation
by: Parikh, Aditya, et al.
Published: (2026)
by: Parikh, Aditya, et al.
Published: (2026)
Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs
by: Tan, Xuwei, et al.
Published: (2026)
by: Tan, Xuwei, et al.
Published: (2026)
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
by: Park, Min-Yeong, et al.
Published: (2024)
by: Park, Min-Yeong, et al.
Published: (2024)
The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads
by: Aghazadeh, Aysan, et al.
Published: (2025)
by: Aghazadeh, Aysan, et al.
Published: (2025)
Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization
by: Shao, Feifei, et al.
Published: (2023)
by: Shao, Feifei, et al.
Published: (2023)
LLaVA-MLB: Mitigating and Leveraging Attention Bias for Training-Free Video LLMs
by: Shen, Leqi, et al.
Published: (2025)
by: Shen, Leqi, et al.
Published: (2025)
Class Uncertainty: A Measure to Mitigate Class Imbalance
by: Baltaci, Z. S., et al.
Published: (2023)
by: Baltaci, Z. S., et al.
Published: (2023)
Similar Items
-
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
by: Katare, Dewant, et al.
Published: (2023) -
Data Heterogeneity and Forgotten Labels in Split Federated Learning
by: Tirana, Joana, et al.
Published: (2025) -
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning
by: Corbucci, Luca, et al.
Published: (2024) -
Speech Robust Bench: A Robustness Benchmark For Speech Recognition
by: Shah, Muhammad A., et al.
Published: (2024) -
DSAP: Analyzing Bias Through Demographic Comparison of Datasets
by: Dominguez-Catena, Iris, et al.
Published: (2023)