Sufficient, Necessary and Complete Causal Explanations in Image Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Kelly, David A, Chockler, Hana |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multiple Different Black Box Explanations for Image Classifiers
by: Chockler, Hana, et al.
Published: (2023)
by: Chockler, Hana, et al.
Published: (2023)
Out-of-the-box: Black-box Causal Attacks on Object Detectors
by: Navaratnarajah, Melane, et al.
Published: (2025)
by: Navaratnarajah, Melane, et al.
Published: (2025)
Real-Time Incremental Explanations for Object Detectors in Autonomous Driving
by: Calderón-Peña, Santiago, et al.
Published: (2024)
by: Calderón-Peña, Santiago, et al.
Published: (2024)
3D ReX: Causal Explanations in 3D Neuroimaging Classification
by: Navaratnarajah, Melane, et al.
Published: (2025)
by: Navaratnarajah, Melane, et al.
Published: (2025)
Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI
by: Chanchal, Akchunya, et al.
Published: (2025)
by: Chanchal, Akchunya, et al.
Published: (2025)
It's a Feature, Not a Bug: Measuring Creative Fluidity in Image Generators
by: Ramaswamy, Aditi, et al.
Published: (2024)
by: Ramaswamy, Aditi, et al.
Published: (2024)
Defining and Quantifying Creative Behavior in Popular Image Generators
by: Ramaswamy, Aditi, et al.
Published: (2025)
by: Ramaswamy, Aditi, et al.
Published: (2025)
Invariant Learning via Probability of Sufficient and Necessary Causes
by: Yang, Mengyue, et al.
Published: (2023)
by: Yang, Mengyue, et al.
Published: (2023)
Causal Explanations for Image Classifiers
by: Chockler, Hana, et al.
Published: (2024)
by: Chockler, Hana, et al.
Published: (2024)
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective
by: Xuan, Xiwei, et al.
Published: (2023)
by: Xuan, Xiwei, et al.
Published: (2023)
Communication-Efficient Federated Learning Based on Explanation-Guided Pruning for Remote Sensing Image Classification
by: Klotz, Jonas, et al.
Published: (2025)
by: Klotz, Jonas, et al.
Published: (2025)
Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification
by: Elangovan, Kabilan, et al.
Published: (2026)
by: Elangovan, Kabilan, et al.
Published: (2026)
A Causal Framework for Mitigating Data Shifts in Healthcare
by: Butler, Kurt, et al.
Published: (2026)
by: Butler, Kurt, et al.
Published: (2026)
Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
by: Storås, Andrea M., et al.
Published: (2024)
by: Storås, Andrea M., et al.
Published: (2024)
SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints
by: Sheng, Ziqi, et al.
Published: (2024)
by: Sheng, Ziqi, et al.
Published: (2024)
Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations
by: Fresz, Benjamin, et al.
Published: (2024)
by: Fresz, Benjamin, et al.
Published: (2024)
Benchmarking the Influence of Pre-training on Explanation Performance in MR Image Classification
by: Oliveira, Marta, et al.
Published: (2023)
by: Oliveira, Marta, et al.
Published: (2023)
Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric
by: Zhao, Ziwei, et al.
Published: (2024)
by: Zhao, Ziwei, et al.
Published: (2024)
Pursuing Minimal Sufficiency in Spatial Reasoning
by: Guo, Yejie, et al.
Published: (2025)
by: Guo, Yejie, et al.
Published: (2025)
WeNLEX: Weakly Supervised Natural Language Explanations for Multilabel Chest X-ray Classification
by: Rio-Torto, Isabel, et al.
Published: (2026)
by: Rio-Torto, Isabel, et al.
Published: (2026)
Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging
by: Chung, Minjae, et al.
Published: (2025)
by: Chung, Minjae, et al.
Published: (2025)
Accurate Explanation Model for Image Classifiers using Class Association Embedding
by: Xie, Ruitao, et al.
Published: (2024)
by: Xie, Ruitao, et al.
Published: (2024)
Towards Temporal Change Explanations from Bi-Temporal Satellite Images
by: Tsujimoto, Ryo, et al.
Published: (2024)
by: Tsujimoto, Ryo, et al.
Published: (2024)
Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation
by: Zhang, Jihai, et al.
Published: (2025)
by: Zhang, Jihai, et al.
Published: (2025)
Is 3D Convolution with 5D Tensors Really Necessary for Video Analysis?
by: Hajimolahoseini, Habib, et al.
Published: (2024)
by: Hajimolahoseini, Habib, et al.
Published: (2024)
Focused Active Learning for Histopathological Image Classification
by: Schmidt, Arne, et al.
Published: (2024)
by: Schmidt, Arne, et al.
Published: (2024)
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks
by: Jabbour, Sarah, et al.
Published: (2024)
by: Jabbour, Sarah, et al.
Published: (2024)
Active Generation for Image Classification
by: Huang, Tao, et al.
Published: (2024)
by: Huang, Tao, et al.
Published: (2024)
SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
by: Huang, Zhenglin, et al.
Published: (2024)
by: Huang, Zhenglin, et al.
Published: (2024)
Efficient KernelSHAP Explanations for Patch-based 3D Medical Image Segmentation
by: Brioso, Ricardo Coimbra, et al.
Published: (2026)
by: Brioso, Ricardo Coimbra, et al.
Published: (2026)
Towards Multi-dimensional Explanation Alignment for Medical Classification
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
Explanation-Driven Counterfactual Testing for Faithfulness in Vision-Language Model Explanations
by: Ding, Sihao, et al.
Published: (2025)
by: Ding, Sihao, et al.
Published: (2025)
Towards Deconfounded Image-Text Matching with Causal Inference
by: Li, Wenhui, et al.
Published: (2024)
by: Li, Wenhui, et al.
Published: (2024)
Photorealistic Inpainting for Perturbation-based Explanations in Ecological Monitoring
by: Aghakishiyeva, Günel, et al.
Published: (2025)
by: Aghakishiyeva, Günel, et al.
Published: (2025)
Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
by: Tong, Lei, et al.
Published: (2025)
by: Tong, Lei, et al.
Published: (2025)
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification
by: Basyal, Ganga Prasad, et al.
Published: (2024)
by: Basyal, Ganga Prasad, et al.
Published: (2024)
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
by: Xiang, Yangyang, et al.
Published: (2024)
by: Xiang, Yangyang, et al.
Published: (2024)
CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image Captioning
by: Tang, Zhijiang, et al.
Published: (2026)
by: Tang, Zhijiang, et al.
Published: (2026)
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
by: Rong, Yao, et al.
Published: (2023)
by: Rong, Yao, et al.
Published: (2023)
Is Complete Labeling Necessary? Understanding Active Learning in Longitudinal Medical Imaging
by: Ma, Siteng, et al.
Published: (2025)
by: Ma, Siteng, et al.
Published: (2025)
Similar Items
-
Multiple Different Black Box Explanations for Image Classifiers
by: Chockler, Hana, et al.
Published: (2023) -
Out-of-the-box: Black-box Causal Attacks on Object Detectors
by: Navaratnarajah, Melane, et al.
Published: (2025) -
Real-Time Incremental Explanations for Object Detectors in Autonomous Driving
by: Calderón-Peña, Santiago, et al.
Published: (2024) -
3D ReX: Causal Explanations in 3D Neuroimaging Classification
by: Navaratnarajah, Melane, et al.
Published: (2025) -
Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI
by: Chanchal, Akchunya, et al.
Published: (2025)