Interpretability
81 papers
Papers per year
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Papers
CIGMA: Causal Information-Gain Mechanistic Attribution of Attention Heads in Vision Transformers
CVPR 2026
From Weights to Concepts: Data-Free Interpretability of CLIP via Singular Vector Decomposition
CVPR 2026
I'm a Map! Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers
CVPR 2026
Intrinsic Concept Extraction Based on Compositional Interpretability
CVPR 2026
Where MLLMs Attend and What They Rely On: Explaining Autoregressive Token Generation
CVPR 2026
Attention IoU: Examining Biases in CelebA using Attention Maps
CVPR 2025
A Unified, Resilient, and Explainable Adversarial Patch Detector
CVPR 2025
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation
AAAI 2025
Beyond Position: the emergence of wavelet-like properties in Transformers
ACL 2025
Explaining ViTs Using Information Flow
AISTATS 2025
From Behavioral Performance to Internal Competence: Interpreting Vision-Language Models with VLM-Lens
EMNLP 2025
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference
CVPR 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning
CVPR 2025
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
CVPR 2025
LLMs Don’t Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations
EMNLP 2025
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis
CVPR 2025
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation
AAAI 2025
Spatial Layouts in News Homepages Capture Human Preferences
EMNLP 2025
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition
CVPR 2025
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention
AAAI 2024
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
NeurIPS 2024
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
CVPR 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
NeurIPS 2024
Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
NeurIPS 2024
Discovering and Mitigating Visual Biases through Keyword Explanation
CVPR 2024