{"total":53,"rows":[{"id":"2312.12936","title":"Concept-based Explainable Artificial Intelligence: A Survey","created":"2023-12-20","cited_by_count":98,"area":null},{"id":"2301.11911","title":"Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees","created":"2023-01-27","cited_by_count":50,"area":null},{"id":"2404.08978","title":"Incremental Residual Concept Bottleneck Models","created":"2024-04-13","cited_by_count":43,"area":null},{"id":"2310.16410","title":"Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero","created":"2023-10-25","cited_by_count":42,"area":null},{"id":"2409.13456","title":"Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?","created":"2024-09-20","cited_by_count":18,"area":null},{"id":"2410.02331","title":"Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks","created":"2024-10-03","cited_by_count":18,"area":null},{"id":"2305.17043","title":"Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery","created":"2023-05-26","cited_by_count":15,"area":null},{"id":"2304.06715","title":"Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance","created":"2023-04-13","cited_by_count":14,"area":null},{"id":"2411.05698","title":"Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification","created":"2024-11-08","cited_by_count":12,"area":null},{"id":"2412.06639","title":"Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers","created":"2024-12-09","cited_by_count":11,"area":null},{"id":"2401.04374","title":"Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective","created":"2024-01-09","cited_by_count":9,"area":null},{"id":"2504.17921","title":"Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts","created":"2025-04-24","cited_by_count":9,"area":null},{"id":"2401.15568","title":"Intriguing Equivalence Structures of the Embedding Space of Vision Transformers","created":"2024-01-28","cited_by_count":8,"area":null},{"id":"2311.14435","title":"Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces","created":"2023-11-24","cited_by_count":7,"area":null},{"id":"2502.11100","title":"Towards Achieving Concept Completeness for Textual Concept Bottleneck Models","created":"2025-02-16","cited_by_count":7,"area":null},{"id":"2306.08424","title":"Selective Concept Models: Permitting Stakeholder Customisation at Test-Time","created":"2023-06-14","cited_by_count":6,"area":null},{"id":"2404.13567","title":"On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis","created":"2024-04-21","cited_by_count":6,"area":null},{"id":"2506.04237","title":"A Comprehensive Survey on the Risks and Limitations of Concept-based Models","created":"2025-05-25","cited_by_count":4,"area":null},{"id":"2503.17416","title":"Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)","created":"2025-03-21","cited_by_count":3,"area":null},{"id":"2504.11159","title":"C-SHAP for time series: An approach to high-level temporal explanations","created":"2025-04-15","cited_by_count":3,"area":null},{"id":"2510.00136","title":"Nonparametric Identification of Latent Concepts","created":"2025-09-30","cited_by_count":3,"area":null},{"id":"2307.13698","title":"Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance","created":"2023-07-07","cited_by_count":2,"area":null},{"id":"2310.11450","title":"Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts","created":"2023-10-17","cited_by_count":2,"area":null},{"id":"2312.17285","title":"Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision","created":"2023-12-28","cited_by_count":2,"area":null},{"id":"2404.07008","title":"Knowledge graphs for empirical concept retrieval","created":"2024-04-10","cited_by_count":2,"area":null},{"id":"2405.02583","title":"Explainable Interface for Human-Autonomy Teaming: A Survey","created":"2024-05-04","cited_by_count":2,"area":null},{"id":"2405.17523","title":"Locally Testing Model Detections for Semantic Global Concepts","created":"2024-05-27","cited_by_count":2,"area":null},{"id":"2501.13818","title":"Ensuring Medical AI Safety: Interpretability-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data","created":"2025-01-23","cited_by_count":2,"area":null},{"id":"2508.13880","title":"In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging","created":"2025-08-19","cited_by_count":2,"area":null},{"id":"2511.00052","title":"Feature-Guided Analysis of Neural Networks: A Replication Study","created":"2025-10-28","cited_by_count":2,"area":null},{"id":"2402.11729","title":"Prospector Heads: Generalized Feature Attribution for Large Models & Data","created":"2024-02-18","cited_by_count":1,"area":null},{"id":"2405.09580","title":"Error-margin Analysis for Hidden Neuron Activation Labels","created":"2024-05-14","cited_by_count":1,"area":null},{"id":"2410.12439","title":"Beyond Attribution: Unified Concept-Level Explanations","created":"2024-10-16","cited_by_count":1,"area":null},{"id":"2504.03847","title":"Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives","created":"2025-04-04","cited_by_count":1,"area":null},{"id":"2504.05026","title":"Multi-level Neural Networks for high-dimensional parametric obstacle problems","created":"2025-04-07","cited_by_count":1,"area":null},{"id":"2504.08602","title":"On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs","created":"2025-04-11","cited_by_count":1,"area":null},{"id":"2505.20293","title":"Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery","created":"2025-05-26","cited_by_count":1,"area":null},{"id":"2310.05755","title":"Deep Concept Removal","created":"2023-10-09","cited_by_count":0,"area":null},{"id":"2403.16782","title":"The Anatomy of Adversarial Attacks: Concept-based XAI Dissection","created":"2024-03-25","cited_by_count":0,"area":null},{"id":"2412.15698","title":"Concept Boundary Vectors","created":"2024-12-20","cited_by_count":0,"area":null},{"id":"2507.07532","title":"Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings","created":"2025-07-10","cited_by_count":0,"area":null},{"id":"2507.18550","title":"On the Performance of Concept Probing: The Influence of the Data (Extended Version)","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2509.21149","title":"LAVA: Explainability for Unsupervised Latent Embeddings","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2510.03320","title":"Attack logics, not outputs: Towards efficient robustification of deep neural networks by falsifying concept-based properties","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2511.04312","title":"Probing the Probes: Methods and Metrics for Concept Alignment","created":"2025-11-06","cited_by_count":0,"area":null},{"id":"2511.06519","title":"On the Analogy between Human Brain and LLMs: Spotting Key Neurons in Grammar Perception","created":"2025-11-09","cited_by_count":0,"area":null},{"id":"2602.19770","title":"The Confusion is Real: GRAPHIC -- A Network Science Approach to Confusion Matrices in Deep Learning","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2603.08639","title":"UNBOX: Unveiling Black-box visual models with Natural-language","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2604.13240","title":"A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2605.15688","title":"$\\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.18481","title":"OCCAM: Open-set Causal Concept explAnation and Ontology induction for black-box vision Models","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2608.26083","title":"ICON decomposition: Multivariate concept auditing reveals shortcuts that neural networks rely on","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.34750","title":"A Unifying Framework of Concept-based Explainable AI with Completeness Guarantees","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}