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Interpretability

74 directly classified papers

Papers per year

Papers

Interpretable Image Classification via Non-parametric Part Prototype Learning CVPR 2025
Beyond Position: the emergence of wavelet-like properties in Transformers ACL 2025
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis CVPR 2025
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference CVPR 2025
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions CVPR 2025
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation AAAI 2025
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition CVPR 2025
From Behavioral Performance to Internal Competence: Interpreting Vision-Language Models with VLM-Lens EMNLP 2025
LLMs Don’t Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations EMNLP 2025
Spatial Layouts in News Homepages Capture Human Preferences EMNLP 2025
A Unified, Resilient, and Explainable Adversarial Patch Detector CVPR 2025
Attention IoU: Examining Biases in CelebA using Attention Maps CVPR 2025
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation AAAI 2025
Diffusion PID: Interpreting Diffusion via Partial Information Decomposition NIPS 2024
Q-SENN: Quantized Self-Explaining Neural Networks AAAI 2024
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention AAAI 2024
Incremental Residual Concept Bottleneck Models CVPR 2024
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable NIPS 2024
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise AAAI 2024
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation CVPR 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training CVPR 2024
Discovering and Mitigating Visual Biases through Keyword Explanation CVPR 2024
On the Faithfulness of Vision Transformer Explanations CVPR 2024
On the Concept Trustworthiness in Concept Bottleneck Models AAAI 2024
Understanding Visual Feature Reliance through the Lens of Complexity NIPS 2024