Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?
Fuente:
arXiv
Guardado en:
| Autores principales: | Queiroz, Dilermando, Carlos, Anderson, Fatoretto, Maíra, Nakayama, Luis Filipe, Anjos, André, Berton, Lilian |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data
por: Queiroz, Dilermando, et al.
Publicado: (2024)
por: Queiroz, Dilermando, et al.
Publicado: (2024)
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
por: Queiroz, Dilermando, et al.
Publicado: (2025)
por: Queiroz, Dilermando, et al.
Publicado: (2025)
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems
por: Özbulak, Gökhan, et al.
Publicado: (2025)
por: Özbulak, Gökhan, et al.
Publicado: (2025)
Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams
por: Fernandes, Leonor, et al.
Publicado: (2025)
por: Fernandes, Leonor, et al.
Publicado: (2025)
How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?
por: Purohit, Mirali, et al.
Publicado: (2025)
por: Purohit, Mirali, et al.
Publicado: (2025)
Rethinking the Bias of Foundation Model under Long-tailed Distribution
por: Chen, Jiahao, et al.
Publicado: (2025)
por: Chen, Jiahao, et al.
Publicado: (2025)
Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model
por: Liu, Yuqiu, et al.
Publicado: (2024)
por: Liu, Yuqiu, et al.
Publicado: (2024)
Refining Tuberculosis Detection in CXR Imaging: Addressing Bias in Deep Neural Networks via Interpretability
por: Güler, Özgür Acar, et al.
Publicado: (2024)
por: Güler, Özgür Acar, et al.
Publicado: (2024)
Classification of Keratitis from Eye Corneal Photographs using Deep Learning
por: Beirão, Maria Miguel, et al.
Publicado: (2024)
por: Beirão, Maria Miguel, et al.
Publicado: (2024)
Bias Analysis in Unconditional Image Generative Models
por: Zhang, Xiaofeng, et al.
Publicado: (2025)
por: Zhang, Xiaofeng, et al.
Publicado: (2025)
From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models
por: Chhua, Kaylee, et al.
Publicado: (2024)
por: Chhua, Kaylee, et al.
Publicado: (2024)
Bias Redistribution in Visual Machine Unlearning: Does Forgetting One Group Harm Another?
por: Haruna, Yunusa, et al.
Publicado: (2026)
por: Haruna, Yunusa, et al.
Publicado: (2026)
Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks
por: Luo, Yaxin, et al.
Publicado: (2026)
por: Luo, Yaxin, et al.
Publicado: (2026)
Generation is Required for Data-Efficient Perception
por: Brady, Jack, et al.
Publicado: (2025)
por: Brady, Jack, et al.
Publicado: (2025)
Parameter-Efficient Adaptation of Pre-Trained Vision Foundation Models for Active and Passive Seismic Data Denoising
por: Zhao, Jiahua, et al.
Publicado: (2026)
por: Zhao, Jiahua, et al.
Publicado: (2026)
Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models
por: Matos, Ivan Luiz De Moura, et al.
Publicado: (2026)
por: Matos, Ivan Luiz De Moura, et al.
Publicado: (2026)
Explainable Metric Learning for Deflating Data Bias
por: Andrews, Emma, et al.
Publicado: (2024)
por: Andrews, Emma, et al.
Publicado: (2024)
A Mixture of Exemplars Approach for Efficient Out-of-Distribution Detection with Foundation Models
por: Mannix, Evelyn, et al.
Publicado: (2023)
por: Mannix, Evelyn, et al.
Publicado: (2023)
Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning
por: Sun, Guangyu, et al.
Publicado: (2022)
por: Sun, Guangyu, et al.
Publicado: (2022)
Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models
por: Tan, Yuwen, et al.
Publicado: (2025)
por: Tan, Yuwen, et al.
Publicado: (2025)
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data
por: Shi, Yucheng, et al.
Publicado: (2025)
por: Shi, Yucheng, et al.
Publicado: (2025)
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
por: Vemulapalli, Raviteja, et al.
Publicado: (2023)
por: Vemulapalli, Raviteja, et al.
Publicado: (2023)
Data-to-Model Distillation: Data-Efficient Learning Framework
por: Sajedi, Ahmad, et al.
Publicado: (2024)
por: Sajedi, Ahmad, et al.
Publicado: (2024)
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling
por: Fhima, Jonathan, et al.
Publicado: (2025)
por: Fhima, Jonathan, et al.
Publicado: (2025)
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models
por: Roos, Nathan, et al.
Publicado: (2025)
por: Roos, Nathan, et al.
Publicado: (2025)
Model-Agnostic Gender Bias Control for Text-to-Image Generation via Sparse Autoencoder
por: Wu, Chao, et al.
Publicado: (2025)
por: Wu, Chao, et al.
Publicado: (2025)
A Medical Data-Effective Learning Benchmark for Highly Efficient Pre-training of Foundation Models
por: Yang, Wenxuan, et al.
Publicado: (2024)
por: Yang, Wenxuan, et al.
Publicado: (2024)
CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models
por: Hörst, Fabian, et al.
Publicado: (2025)
por: Hörst, Fabian, et al.
Publicado: (2025)
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models
por: Barreto, Jesimon, et al.
Publicado: (2025)
por: Barreto, Jesimon, et al.
Publicado: (2025)
Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models
por: Wang, Xin, et al.
Publicado: (2026)
por: Wang, Xin, et al.
Publicado: (2026)
Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training
por: Lu, Aojun, et al.
Publicado: (2026)
por: Lu, Aojun, et al.
Publicado: (2026)
Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction
por: Li, Xiao, et al.
Publicado: (2025)
por: Li, Xiao, et al.
Publicado: (2025)
Differentially Private Bias-Term Fine-tuning of Foundation Models
por: Bu, Zhiqi, et al.
Publicado: (2022)
por: Bu, Zhiqi, et al.
Publicado: (2022)
Leveraging Foundation Models for Causal Generative Modeling
por: Komanduri, Aneesh, et al.
Publicado: (2026)
por: Komanduri, Aneesh, et al.
Publicado: (2026)
VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
por: Wu, Yecheng, et al.
Publicado: (2024)
por: Wu, Yecheng, et al.
Publicado: (2024)
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?
por: Cekmeceli, Kerem, et al.
Publicado: (2024)
por: Cekmeceli, Kerem, et al.
Publicado: (2024)
TerraTorch: The Geospatial Foundation Models Toolkit
por: Gomes, Carlos, et al.
Publicado: (2025)
por: Gomes, Carlos, et al.
Publicado: (2025)
Unleashing the Potential of Model Bias for Generalized Category Discovery
por: An, Wenbin, et al.
Publicado: (2024)
por: An, Wenbin, et al.
Publicado: (2024)
Research on the Spatial Data Intelligent Foundation Model
por: Wang, Shaohua, et al.
Publicado: (2024)
por: Wang, Shaohua, et al.
Publicado: (2024)
LIB-KD: Teaching Inductive Bias for Efficient Vision Transformer Distillation and Compression
por: Habib, Gousia, et al.
Publicado: (2023)
por: Habib, Gousia, et al.
Publicado: (2023)
Ejemplares similares
-
Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data
por: Queiroz, Dilermando, et al.
Publicado: (2024) -
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
por: Queiroz, Dilermando, et al.
Publicado: (2025) -
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems
por: Özbulak, Gökhan, et al.
Publicado: (2025) -
Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams
por: Fernandes, Leonor, et al.
Publicado: (2025) -
How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?
por: Purohit, Mirali, et al.
Publicado: (2025)