conftrace_

saliency map

125 papers

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Co-occurring keywords

neural network (6616) convolutional neural network (4226) explainable ai (480) model interpretability (519) feature attribution (280) image classification (1944) adversarial attack (1621) attribution method (79) deep learning (2118) deep neural network (1803)

Papers

SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability AAAI 2026
From Attribution to Action: Jointly ALIGNing Predictions and Explanations AAAI 2026
Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations AAAI 2026
EPIC: Explanation of Pretrained Image Classification Networks via Prototypes AAAI 2026
Spin: Diffusion-based Semantic Image Painting Through Independent Information Injection AAAI 2025
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models WACV 2025
CE-FAM: Concept-Based Explanation via Fusion of Activation Maps ICCV 2025
DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences CVPR 2025
DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection WACV 2025
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis CVPR 2025
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition CVPR 2025
Interpreting Object-level Foundation Models via Visual Precision Search CVPR 2025
FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling ICCV 2025
CAM-Based Methods Can See through Walls (Extended Abstract) IJCAI 2025
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification IJCAI 2024
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics NIPS 2024
Towards Multi-dimensional Explanation Alignment for Medical Classification NIPS 2024
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning CVPR 2024
Phoneme Discretized Saliency Maps for Explainable Detection of AI-Generated Voice INTERSPEECH 2024
Investigating the Impact of Model Instability on Explanations and Uncertainty ACL 2024
Q-SENN: Quantized Self-Explaining Neural Networks AAAI 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training CVPR 2024
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting EMNLP 2024
Great Minds Think Alike: The Universal Convergence Trend of Input Salience NIPS 2024
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods ACL 2023