Interpretability

I-CEE: Tailoring Explanations of Image Classification Models to User Expertise AAAI 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 On the Concept Trustworthiness in Concept Bottleneck Models AAAI 2024 On the Faithfulness of Vision Transformer Explanations CVPR 2024 Q-SENN: Quantized Self-Explaining Neural Networks AAAI 2024 Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics ACML 2024 Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training CVPR 2024 Understanding Visual Feature Reliance through the Lens of Complexity NeurIPS 2024 Analyzing Vision Transformers for Image Classification in Class Embedding Space NeurIPS 2023 Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images NeurIPS 2023 Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification CVPR 2023 CRAFT: Concept Recursive Activation FacTorization for Explainability CVPR 2023 DISCOVER: Making Vision Networks Interpretable via Competition and Dissection NeurIPS 2023 Exploring Geometry of Blind Spots in Vision models NeurIPS 2023 Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification CVPR 2023 Log-linear Guardedness and its Implications ACL 2023 PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification CVPR 2023 SketchXAI: A First Look at Explainability for Human Sketches CVPR 2023 Towards Better Explanations for Object Detection ACML 2023 Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance AAAI 2023 What the DAAM: Interpreting Stable Diffusion Using Cross Attention ACL 2023 DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training AAAI 2022 Expert-Informed, User-Centric Explanations for Machine Learning AAAI 2022 Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention CVPR 2022 Interpretable Part-Whole Hierarchies and Conceptual-Semantic Relationships in Neural Networks CVPR 2022