Co-occurring keywords · papers mentioning both
Papers
Can LLMs Explain Themselves Counterfactually?
EMNLP 2025
Gradient-based Explanations for Deep Learning Survival Models
ICML 2025
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
ICCV 2025
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
CVPR 2025
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations
ICCV 2025
Gradient-based Visual Explanation for Transformer-based CLIP
ICML 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis
COLING 2024
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations
CVPR 2023
Robust Explanation Constraints for Neural Networks
ICLR 2023
A Diagnostic Study of Explainability Techniques for Text Classification
EMNLP 2020
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations
IJCAI 2017