{"total":115,"rows":[{"id":"2201.08164","title":"From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI","created":"2022-01-20","cited_by_count":302,"area":null},{"id":"2107.07436","title":"FastSHAP: Real-Time Shapley Value Estimation","created":"2021-07-15","cited_by_count":125,"area":null},{"id":"2207.07605","title":"Algorithms to estimate Shapley value feature attributions","created":"2022-07-15","cited_by_count":115,"area":null},{"id":"2202.05594","title":"The Shapley Value in Machine Learning","created":"2022-02-11","cited_by_count":98,"area":null},{"id":"2106.12543","title":"Synthetic Benchmarks for Scientific Research in Explainable Machine Learning","created":"2021-06-23","cited_by_count":59,"area":null},{"id":"2211.03295","title":"MogaNet: Multi-order Gated Aggregation Network","created":"2022-11-07","cited_by_count":59,"area":null},{"id":"2409.00265","title":"Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction","created":"2024-08-30","cited_by_count":46,"area":null},{"id":"2104.03674","title":"Explainability-based Backdoor Attacks Against Graph Neural Networks","created":"2021-04-08","cited_by_count":42,"area":null},{"id":"2111.06236","title":"Discovering and Explaining the Representation Bottleneck of DNNs","created":"2021-11-11","cited_by_count":42,"area":null},{"id":"2104.02297","title":"Shapley Explanation Networks","created":"2021-04-06","cited_by_count":41,"area":null},{"id":"2106.00285","title":"Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning","created":"2021-06-01","cited_by_count":38,"area":null},{"id":"2105.00108","title":"Explaining a Series of Models by Propagating Shapley Values","created":"2021-04-30","cited_by_count":37,"area":null},{"id":"2305.10289","title":"Explain Any Concept: Segment Anything Meets Concept-Based Explanation","created":"2023-05-17","cited_by_count":37,"area":null},{"id":"2111.06206","title":"Defining and Quantifying the Emergence of Sparse Concepts in DNNs","created":"2021-11-11","cited_by_count":36,"area":null},{"id":"2207.09679","title":"Explaining Deepfake Detection by Analysing Image Matching","created":"2022-07-20","cited_by_count":34,"area":null},{"id":"2302.00736","title":"Approximating the Shapley Value without Marginal Contributions","created":"2023-02-01","cited_by_count":34,"area":null},{"id":"2303.13995","title":"LINe: Out-of-Distribution Detection by Leveraging Important Neurons","created":"2023-03-24","cited_by_count":34,"area":null},{"id":"2103.16886","title":"Neural Response Interpretation through the Lens of Critical Pathways","created":"2021-03-31","cited_by_count":32,"area":null},{"id":"2112.11407","title":"Toward Explainable AI for Regression Models","created":"2021-12-21","cited_by_count":31,"area":null},{"id":"2205.13943","title":"Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN","created":"2022-05-27","cited_by_count":31,"area":null},{"id":"2207.04806","title":"Repairing Neural Networks by Leaving the Right Past Behind","created":"2022-07-11","cited_by_count":27,"area":null},{"id":"2210.16966","title":"Interpretable Geometric Deep Learning via Learnable Randomness Injection","created":"2022-10-30","cited_by_count":27,"area":null},{"id":"2302.13080","title":"Does a Neural Network Really Encode Symbolic Concepts?","created":"2023-02-25","cited_by_count":27,"area":null},{"id":"2105.15013","title":"SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning","created":"2021-05-31","cited_by_count":26,"area":null},{"id":"2101.02153","title":"The Shapley Value of Classifiers in Ensemble Games","created":"2021-01-06","cited_by_count":23,"area":null},{"id":"2110.05304","title":"You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction","created":"2021-10-11","cited_by_count":23,"area":null},{"id":"2206.09811","title":"Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search","created":"2022-06-20","cited_by_count":23,"area":null},{"id":"2106.08641","title":"Best of both worlds: local and global explanations with human-understandable concepts","created":"2021-06-16","cited_by_count":22,"area":null},{"id":"2108.10744","title":"Interpretable deep-learning models to help achieve the Sustainable Development Goals","created":"2021-08-24","cited_by_count":18,"area":null},{"id":"2111.03536","title":"A Unified Game-Theoretic Interpretation of Adversarial Robustness","created":"2021-11-05","cited_by_count":17,"area":null},{"id":"2304.01811","title":"HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation","created":"2023-04-04","cited_by_count":17,"area":null},{"id":"2106.10938","title":"A Game-Theoretic Taxonomy of Visual Concepts in DNNs","created":"2021-06-21","cited_by_count":16,"area":null},{"id":"2112.02625","title":"Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View","created":"2021-12-05","cited_by_count":15,"area":null},{"id":"2305.09536","title":"A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them","created":"2023-05-16","cited_by_count":15,"area":null},{"id":"2302.03225","title":"Efficient XAI Techniques: A Taxonomic Survey","created":"2023-02-07","cited_by_count":14,"area":null},{"id":"2206.08529","title":"Accelerating Shapley Explanation via Contributive Cooperator Selection","created":"2022-06-17","cited_by_count":13,"area":null},{"id":"2506.08505","title":"Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations","created":"2025-06-10","cited_by_count":13,"area":null},{"id":"2111.03549","title":"Interpreting Representation Quality of DNNs for 3D Point Cloud Processing","created":"2021-11-05","cited_by_count":12,"area":null},{"id":"2304.13312","title":"Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs","created":"2023-04-26","cited_by_count":12,"area":null},{"id":"2312.05490","title":"Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image Classification","created":"2023-12-09","cited_by_count":12,"area":null},{"id":"2406.10852","title":"IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution","created":"2024-06-16","cited_by_count":12,"area":null},{"id":"2105.10719","title":"Can We Faithfully Represent Masked States to Compute Shapley Values on a DNN?","created":"2021-05-22","cited_by_count":10,"area":null},{"id":"2106.02938","title":"Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning","created":"2021-06-05","cited_by_count":10,"area":null},{"id":"2111.14651","title":"Multi-objective Explanations of GNN Predictions","created":"2021-11-29","cited_by_count":10,"area":null},{"id":"2312.09783","title":"Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning","created":"2023-12-15","cited_by_count":10,"area":null},{"id":"2109.01369","title":"Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation","created":"2021-09-03","cited_by_count":9,"area":null},{"id":"2302.13095","title":"Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts","created":"2023-02-25","cited_by_count":9,"area":null},{"id":"2407.11359","title":"Feature Inference Attack on Shapley Values","created":"2024-07-16","cited_by_count":9,"area":null},{"id":"2103.03302","title":"Ensembles of Random SHAPs","created":"2021-03-04","cited_by_count":8,"area":null},{"id":"2205.09901","title":"Cardinality-Minimal Explanations for Monotonic Neural Networks","created":"2022-05-19","cited_by_count":8,"area":null},{"id":"2111.03505","title":"Visualizing the Emergence of Intermediate Visual Patterns in DNNs","created":"2021-11-05","cited_by_count":7,"area":null},{"id":"2212.14815","title":"Black-box language model explanation by context length probing","created":"2022-12-30","cited_by_count":7,"area":null},{"id":"2405.17201","title":"Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View","created":"2024-05-27","cited_by_count":7,"area":"lr"},{"id":"2103.00370","title":"Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning","created":"2021-02-28","cited_by_count":6,"area":null},{"id":"2112.03020","title":"Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning","created":"2021-12-06","cited_by_count":6,"area":null},{"id":"2210.17426","title":"Trade-off Between Efficiency and Consistency for Removal-based Explanations","created":"2022-10-31","cited_by_count":6,"area":null},{"id":"2304.03550","title":"Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition","created":"2023-04-07","cited_by_count":6,"area":null},{"id":"2304.14774","title":"A feature selection method based on Shapley values robust to concept shift in regression","created":"2023-04-28","cited_by_count":6,"area":null},{"id":"2401.03785","title":"Identifying Important Group of Pixels using Interactions","created":"2024-01-08","cited_by_count":6,"area":null},{"id":"2307.15316","title":"Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting","created":"2023-07-28","cited_by_count":5,"area":null},{"id":"2410.04883","title":"Improving the Weighting Strategy in KernelSHAP","created":"2024-10-07","cited_by_count":5,"area":null},{"id":"2106.13093","title":"Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods","created":"2021-06-24","cited_by_count":4,"area":null},{"id":"2205.07266","title":"Discovering the Representation Bottleneck of Graph Neural Networks","created":"2022-05-15","cited_by_count":4,"area":null},{"id":"2302.01416","title":"Neural Insights for Digital Marketing Content Design","created":"2023-02-02","cited_by_count":4,"area":null},{"id":"2310.07882","title":"The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research","created":"2023-10-11","cited_by_count":4,"area":null},{"id":"2409.08712","title":"Layerwise Change of Knowledge in Neural Networks","created":"2024-09-13","cited_by_count":4,"area":null},{"id":"2410.13448","title":"Fast Estimation of Partial Dependence Functions using Trees","created":"2024-10-17","cited_by_count":4,"area":null},{"id":"2410.19236","title":"SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries","created":"2024-10-25","cited_by_count":4,"area":null},{"id":"2208.06096","title":"Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights","created":"2022-08-12","cited_by_count":3,"area":null},{"id":"2301.13572","title":"BALANCE: Bayesian Linear Attribution for Root Cause Localization","created":"2023-01-31","cited_by_count":3,"area":null},{"id":"2304.07296","title":"MLOps Spanning Whole Machine Learning Life Cycle: A Survey","created":"2023-04-13","cited_by_count":3,"area":null},{"id":"2310.04821","title":"A New Baseline Assumption of Integated Gradients Based on Shaply value","created":"2023-10-07","cited_by_count":3,"area":null},{"id":"2412.01120","title":"Reliable and scalable variable importance estimation via warm-start and early stopping","created":"2024-12-02","cited_by_count":3,"area":null},{"id":"2505.04775","title":"Prediction via Shapley Value Regression","created":"2025-05-07","cited_by_count":3,"area":null},{"id":"2605.06664","title":"BAMI: Training-Free Bias Mitigation in GUI Grounding","created":"2026-05-07","cited_by_count":3,"area":null},{"id":"2606.09886","title":"SHAPE: Coalition-Aware Expert Pruning for Sparse Mixture-of-Experts LLMs","created":"2026-06-03","cited_by_count":3,"area":"moe"},{"id":"2104.06630","title":"A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals","created":"2021-04-14","cited_by_count":2,"area":null},{"id":"2201.01155","title":"DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training","created":"2021-12-31","cited_by_count":2,"area":null},{"id":"2203.00628","title":"A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation","created":"2022-03-01","cited_by_count":2,"area":null},{"id":"2312.10942","title":"ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton","created":"2023-12-18","cited_by_count":2,"area":null},{"id":"2412.01460","title":"A Comprehensive Study of Shapley Value in Data Analytics","created":"2024-12-02","cited_by_count":2,"area":null},{"id":"2503.06602","title":"FW-Shapley: Real-time Estimation of Weighted Shapley Values","created":"2025-03-09","cited_by_count":2,"area":null},{"id":"2510.17585","title":"Expose Camouflage in the Water: Underwater Camouflaged Instance Segmentation and Dataset","created":"2025-10-20","cited_by_count":2,"area":null},{"id":"2101.04889","title":"Towards Interpretable Ensemble Learning for Image-based Malware Detection","created":"2021-01-13","cited_by_count":1,"area":null},{"id":"2101.09301","title":"i-Algebra: Towards Interactive Interpretability of Deep Neural Networks","created":"2021-01-22","cited_by_count":1,"area":null},{"id":"2107.05997","title":"Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data","created":"2021-07-13","cited_by_count":1,"area":null},{"id":"2212.14106","title":"Provable Robust Saliency-based Explanations","created":"2022-12-28","cited_by_count":1,"area":null},{"id":"2303.06635","title":"Schema Inference for Interpretable Image Classification","created":"2023-03-12","cited_by_count":1,"area":null},{"id":"2309.13411","title":"Towards Attributions of Input Variables in a Coalition","created":"2023-09-23","cited_by_count":1,"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":"2404.01078","title":"Energy-Based Model for Accurate Estimation of Shapley Values in Feature Attribution","created":"2024-04-01","cited_by_count":1,"area":null},{"id":"2406.11010","title":"WeShap: Weak Supervision Source Evaluation with Shapley Values","created":"2024-06-16","cited_by_count":1,"area":null},{"id":"2407.16482","title":"BONES: a Benchmark fOr Neural Estimation of Shapley values","created":"2024-07-23","cited_by_count":1,"area":null},{"id":"2412.01365","title":"Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability","created":"2024-12-02","cited_by_count":1,"area":null},{"id":"2504.03773","title":"SHapley Estimated Explanation (SHEP): A Fast Post-Hoc Attribution Method for Interpreting Intelligent Fault Diagnosis","created":"2025-04-03","cited_by_count":1,"area":null},{"id":"2508.03002","title":"Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization","created":"2025-08-05","cited_by_count":1,"area":null},{"id":"2602.13087","title":"EXCODER: EXplainable Classification Of DiscretE time series Representations","created":"2026-02-13","cited_by_count":1,"area":null},{"id":"2103.07364","title":"A Unified Game-Theoretic Interpretation of Adversarial Robustness","created":"2021-03-12","cited_by_count":0,"area":null},{"id":"2105.13988","title":"An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics","created":"2021-05-26","cited_by_count":0,"area":null},{"id":"2108.09306","title":"D-DARTS: Distributed Differentiable Architecture Search","created":"2021-08-20","cited_by_count":0,"area":null}],"next_cursor":"100"}