Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Zeliang, Feng, Mingqian, Li, Zhiheng, Xu, Chenliang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?
by: Feng, Mingqian, et al.
Published: (2024)
by: Feng, Mingqian, et al.
Published: (2024)
Forward Learning for Gradient-based Black-box Saliency Map Generation
by: Zhang, Zeliang, et al.
Published: (2024)
by: Zhang, Zeliang, et al.
Published: (2024)
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?
by: Zhang, Zeliang, et al.
Published: (2024)
by: Zhang, Zeliang, et al.
Published: (2024)
Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP
by: Zhang, Zeliang, et al.
Published: (2024)
by: Zhang, Zeliang, et al.
Published: (2024)
Learning to Transform Dynamically for Better Adversarial Transferability
by: Zhu, Rongyi, et al.
Published: (2024)
by: Zhu, Rongyi, et al.
Published: (2024)
Targeted Forgetting of Image Subgroups in CLIP Models
by: Zhang, Zeliang, et al.
Published: (2025)
by: Zhang, Zeliang, et al.
Published: (2025)
VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?
by: Tang, Yolo Y., et al.
Published: (2024)
by: Tang, Yolo Y., et al.
Published: (2024)
Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding
by: Tang, Yolo Yunlong, et al.
Published: (2024)
by: Tang, Yolo Yunlong, et al.
Published: (2024)
Can VLMs Truly Forget? Benchmarking Training-Free Visual Concept Unlearning
by: Tan, Zhangyun, et al.
Published: (2026)
by: Tan, Zhangyun, et al.
Published: (2026)
Multiple Different Black Box Explanations for Image Classifiers
by: Chockler, Hana, et al.
Published: (2023)
by: Chockler, Hana, et al.
Published: (2023)
Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds
by: Ma, Yanbiao, et al.
Published: (2024)
by: Ma, Yanbiao, et al.
Published: (2024)
Biased Binary Attribute Classifiers Ignore the Majority Classes
by: Zhang, Xinyi, et al.
Published: (2024)
by: Zhang, Xinyi, et al.
Published: (2024)
Manipulating and Mitigating Generative Model Biases without Retraining
by: Vice, Jordan, et al.
Published: (2024)
by: Vice, Jordan, et al.
Published: (2024)
Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound
by: Liang, Huanwen, et al.
Published: (2025)
by: Liang, Huanwen, et al.
Published: (2025)
TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
by: Jiang, Chaoya, et al.
Published: (2023)
by: Jiang, Chaoya, et al.
Published: (2023)
DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation
by: Tian, Yiqi, et al.
Published: (2026)
by: Tian, Yiqi, et al.
Published: (2026)
Generative AI for Cel-Animation: A Survey
by: Tang, Yolo Y., et al.
Published: (2025)
by: Tang, Yolo Y., et al.
Published: (2025)
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
by: Varma, Maya, et al.
Published: (2024)
by: Varma, Maya, et al.
Published: (2024)
The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects
by: Wan, Yixin, et al.
Published: (2024)
by: Wan, Yixin, et al.
Published: (2024)
Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
by: Ye, Wei, et al.
Published: (2024)
by: Ye, Wei, et al.
Published: (2024)
RayMamba: Ray-Aligned Serialization for Long-Range 3D Object Detection
by: Lu, Cheng, et al.
Published: (2026)
by: Lu, Cheng, et al.
Published: (2026)
SDGBiasBench: Benchmarking and Mitigating Vision--Language Models' Biases in Sustainable Development Goals
by: Lin, Zihang, et al.
Published: (2026)
by: Lin, Zihang, et al.
Published: (2026)
What to Do Next? Memorizing skills from Egocentric Instructional Video
by: Bi, Jing, et al.
Published: (2025)
by: Bi, Jing, et al.
Published: (2025)
Mitigating Easy Option Bias in Multiple-Choice Question Answering
by: Zhang, Hao, et al.
Published: (2025)
by: Zhang, Hao, et al.
Published: (2025)
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
by: Howard, Phillip, et al.
Published: (2023)
by: Howard, Phillip, et al.
Published: (2023)
Unveiling the "Fairness Seesaw": Discovering and Mitigating Gender and Race Bias in Vision-Language Models
by: Lan, Jian, et al.
Published: (2025)
by: Lan, Jian, et al.
Published: (2025)
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
by: Trang, Bailey, et al.
Published: (2025)
by: Trang, Bailey, et al.
Published: (2025)
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation
by: Kumar, Teerath, et al.
Published: (2024)
by: Kumar, Teerath, et al.
Published: (2024)
Inpaint Biases: A Pathway to Accurate and Unbiased Image Generation
by: Myung, Jiyoon, et al.
Published: (2024)
by: Myung, Jiyoon, et al.
Published: (2024)
Mitigating Hallucinations on Object Attributes using Multiview Images and Negative Instructions
by: Tan, Zhijie, et al.
Published: (2025)
by: Tan, Zhijie, et al.
Published: (2025)
DailyArt: Discovering Articulation from Single Static Images via Latent Dynamics
by: Zhang, Hang, et al.
Published: (2026)
by: Zhang, Hang, et al.
Published: (2026)
V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning
by: Hua, Hang, et al.
Published: (2024)
by: Hua, Hang, et al.
Published: (2024)
Discovering and using Spelke segments
by: Venkatesh, Rahul, et al.
Published: (2025)
by: Venkatesh, Rahul, et al.
Published: (2025)
Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models
by: LeCoz, Adrien, et al.
Published: (2024)
by: LeCoz, Adrien, et al.
Published: (2024)
P-TAME: Explain Any Image Classifier with Trained Perturbations
by: Ntrougkas, Mariano V., et al.
Published: (2025)
by: Ntrougkas, Mariano V., et al.
Published: (2025)
Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers
by: Tariq, Syed Ali, et al.
Published: (2025)
by: Tariq, Syed Ali, et al.
Published: (2025)
FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval
by: Li, Zixu, et al.
Published: (2025)
by: Li, Zixu, et al.
Published: (2025)
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council
by: Luo, Luyang, et al.
Published: (2024)
by: Luo, Luyang, et al.
Published: (2024)
Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification
by: Shen, Xing, et al.
Published: (2025)
by: Shen, Xing, et al.
Published: (2025)
WeatherSeg: Weather-Robust Image Segmentation using Teacher-Student Dual Learning and Classifier-Updating Attention
by: Zhang, Zhang, et al.
Published: (2026)
by: Zhang, Zhang, et al.
Published: (2026)
Similar Items
-
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?
by: Feng, Mingqian, et al.
Published: (2024) -
Forward Learning for Gradient-based Black-box Saliency Map Generation
by: Zhang, Zeliang, et al.
Published: (2024) -
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?
by: Zhang, Zeliang, et al.
Published: (2024) -
Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP
by: Zhang, Zeliang, et al.
Published: (2024) -
Learning to Transform Dynamically for Better Adversarial Transferability
by: Zhu, Rongyi, et al.
Published: (2024)