| Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses | Feb 19, 2022 | DescriptiveEmotion Recognition | CodeCode Available | 1 |
| A Matlab Toolbox for Feature Importance Ranking | Mar 10, 2020 | Feature Importancefeature selection | CodeCode Available | 1 |
| Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud | Sep 7, 2021 | Bias DetectionBIG-bench Machine Learning | CodeCode Available | 1 |
| Rethinking Attention-Model Explainability through Faithfulness Violation Test | Jan 28, 2022 | DiagnosticFeature Importance | CodeCode Available | 1 |
| CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving | Apr 9, 2025 | Autonomous DrivingFeature Importance | CodeCode Available | 1 |
| Shapley Flow: A Graph-based Approach to Interpreting Model Predictions | Oct 27, 2020 | Feature Importance | CodeCode Available | 1 |
| SurvLIMEpy: A Python package implementing SurvLIME | Feb 21, 2023 | Feature ImportanceSurvival Analysis | CodeCode Available | 1 |
| Sweetwater: An interpretable and adaptive autoencoder for efficient tissue deconvolution | Nov 20, 2023 | Feature Importance | CodeCode Available | 1 |
| Text Guide: Improving the quality of long text classification by a text selection method based on feature importance | Apr 15, 2021 | ClassificationExplainable artificial intelligence | CodeCode Available | 1 |
| GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning | Dec 22, 2020 | counterfactualCounterfactual Explanation | CodeCode Available | 1 |
| Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game | Oct 24, 2022 | Feature Importance | CodeCode Available | 1 |
| Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI | Mar 16, 2020 | BenchmarkingExplainable Artificial Intelligence (XAI) | CodeCode Available | 1 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | Nov 2, 2020 | Feature ImportancePerson Re-Identification | CodeCode Available | 1 |
| CAFO: Feature-Centric Explanation on Time Series Classification | Jun 3, 2024 | ClassificationFeature Importance | CodeCode Available | 1 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| A Unified Approach to Interpreting Model Predictions | May 22, 2017 | Feature ImportanceImage Attribution | CodeCode Available | 1 |
| Concept Activation Regions: A Generalized Framework For Concept-Based Explanations | Sep 22, 2022 | Feature Importance | CodeCode Available | 1 |
| Counterfactual Shapley Additive Explanations | Oct 27, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 1 |
| DBA: Distributed Backdoor Attacks against Federated Learning | May 1, 2020 | Backdoor AttackFeature Importance | CodeCode Available | 1 |
| Discretized Integrated Gradients for Explaining Language Models | Aug 31, 2021 | Feature ImportanceSentiment Analysis | CodeCode Available | 1 |
| Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees | May 18, 2019 | Feature EngineeringFeature Importance | CodeCode Available | 1 |
| agtboost: Adaptive and Automatic Gradient Tree Boosting Computations | Aug 28, 2020 | Feature Importance | CodeCode Available | 1 |
| Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Models | Mar 12, 2024 | Decision MakingExplainable artificial intelligence | CodeCode Available | 1 |
| Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? | Mar 12, 2022 | Explainable Artificial Intelligence (XAI)Feature Importance | CodeCode Available | 1 |
| Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs | Jul 1, 2022 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 |
| Explainable Global Wildfire Prediction Models using Graph Neural Networks | Feb 11, 2024 | BenchmarkingCommunity Detection | CodeCode Available | 1 |
| Explainable Multilayer Graph Neural Network for Cancer Gene Prediction | Jan 20, 2023 | Feature ImportanceGraph Learning | CodeCode Available | 1 |
| FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification | Jul 11, 2024 | Domain AdaptationFairness | CodeCode Available | 1 |
| Compressing Features for Learning with Noisy Labels | Jun 27, 2022 | Feature CompressionFeature Importance | CodeCode Available | 1 |
| Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG Data | May 5, 2022 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 |
| Feature Importance Explanations for Temporal Black-Box Models | Feb 23, 2021 | Feature Importance | CodeCode Available | 1 |
| fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms | Nov 23, 2022 | Automated Feature EngineeringBenchmarking | CodeCode Available | 1 |
| Group-level Brain Decoding with Deep Learning | May 27, 2022 | Brain DecodingDeep Learning | CodeCode Available | 1 |
| GraphXAIN: Narratives to Explain Graph Neural Networks | Nov 4, 2024 | DescriptiveFeature Importance | CodeCode Available | 1 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 |
| High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer | Oct 30, 2024 | Document EnhancementFeature Importance | CodeCode Available | 1 |
| Interpretable machine learning for time-to-event prediction in medicine and healthcare | Mar 17, 2023 | Decision MakingFeature Importance | CodeCode Available | 1 |
| Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors | Jun 27, 2020 | ClusteringDimensionality Reduction | CodeCode Available | 1 |
| Facial Expression Recognition in the Wild via Deep Attentive Center Loss | Jan 7, 2021 | Facial Expression RecognitionFacial Expression Recognition (FER) | CodeCode Available | 1 |
| Interpret Federated Learning with Shapley Values | May 11, 2019 | Feature ImportanceFederated Learning | CodeCode Available | 1 |
| Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task | Sep 30, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 |
| All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation | Sep 29, 2024 | AllData Compression | CodeCode Available | 1 |
| Label-Free Explainability for Unsupervised Models | Mar 3, 2022 | Feature Importance | CodeCode Available | 1 |
| CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models | Dec 6, 2023 | Feature ImportancePhilosophy | CodeCode Available | 1 |
| Multi-View Adaptive Fusion Network for 3D Object Detection | Nov 2, 2020 | 3D Object DetectionAutonomous Driving | CodeCode Available | 1 |
| MvFS: Multi-view Feature Selection for Recommender System | Sep 5, 2023 | Feature Importancefeature selection | CodeCode Available | 1 |
| Neural Eigenfunctions Are Structured Representation Learners | Oct 23, 2022 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| Measuring Association Between Labels and Free-Text Rationales | Oct 24, 2020 | Decision MakingFeature Importance | CodeCode Available | 1 |
| Understanding Information Processing in Human Brain by Interpreting Machine Learning Models | Oct 17, 2020 | BIG-bench Machine LearningDimensionality Reduction | CodeCode Available | 1 |
