| Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders | Dec 1, 2020 | ClusteringDenoising | 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 |
| RISE: Randomized Input Sampling for Explanation of Black-box Models | Jun 19, 2018 | Explainable Artificial Intelligence (XAI)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 |
| STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison | Jun 23, 2022 | AutoMLBinary Classification | CodeCode Available | 1 |
| Sweetwater: An interpretable and adaptive autoencoder for efficient tissue deconvolution | Nov 20, 2023 | Feature Importance | CodeCode Available | 1 |
| TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations | Jul 8, 2022 | BIG-bench Machine LearningDisease Prediction | 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 |
| GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning | Dec 22, 2020 | counterfactualCounterfactual Explanation | 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 |
| Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI | Mar 16, 2020 | BenchmarkingExplainable Artificial Intelligence (XAI) | CodeCode Available | 1 |
| Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game | Oct 24, 2022 | Feature Importance | CodeCode Available | 1 |
| Compressing Features for Learning with Noisy Labels | Jun 27, 2022 | Feature CompressionFeature Importance | CodeCode Available | 1 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| A Unified Approach to Interpreting Model Predictions | May 22, 2017 | Feature ImportanceImage Attribution | CodeCode Available | 1 |
| ControlBurn: Feature Selection by Sparse Forests | Jul 1, 2021 | Feature Importancefeature selection | CodeCode Available | 1 |
| DBA: Distributed Backdoor Attacks against Federated Learning | May 1, 2020 | Backdoor AttackFeature Importance | CodeCode Available | 1 |
| Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopes | Jan 28, 2024 | Anomaly DetectionExplainable artificial intelligence | CodeCode Available | 1 |
| Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees | May 18, 2019 | Feature EngineeringFeature Importance | CodeCode Available | 1 |
| Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark | Jun 8, 2022 | BenchmarkingExplainable Artificial Intelligence (XAI) | CodeCode Available | 1 |
| agtboost: Adaptive and Automatic Gradient Tree Boosting Computations | Aug 28, 2020 | Feature Importance | CodeCode Available | 1 |
| E2E-FS: An End-to-End Feature Selection Method for Neural Networks | Dec 14, 2020 | Feature Importancefeature selection | 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 |
| Explainability and Adversarial Robustness for RNNs | Dec 20, 2019 | Adversarial RobustnessFeature Importance | CodeCode Available | 1 |
| Explainable Multilayer Graph Neural Network for Cancer Gene Prediction | Jan 20, 2023 | Feature ImportanceGraph Learning | CodeCode Available | 1 |
| GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games | Jan 28, 2022 | AttributeFeature Importance | CodeCode Available | 1 |
| Concept Activation Regions: A Generalized Framework For Concept-Based Explanations | Sep 22, 2022 | Feature Importance | CodeCode Available | 1 |
| Feature Importance-aware Transferable Adversarial Attacks | Jul 29, 2021 | Feature Importance | CodeCode Available | 1 |
| Discretized Integrated Gradients for Explaining Language Models | Aug 31, 2021 | Feature ImportanceSentiment Analysis | CodeCode Available | 1 |
| Feature Importance Ranking for Deep Learning | Oct 18, 2020 | Combinatorial OptimizationDeep Learning | CodeCode Available | 1 |
| Group-level Brain Decoding with Deep Learning | May 27, 2022 | Brain DecodingDeep Learning | CodeCode Available | 1 |
| Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology? | Oct 28, 2024 | Feature ImportanceMultiple Instance Learning | CodeCode Available | 1 |
| Grouped Feature Importance and Combined Features Effect Plot | Apr 23, 2021 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 |
| Interpretable machine learning for time-to-event prediction in medicine and healthcare | Mar 17, 2023 | Decision MakingFeature Importance | CodeCode Available | 1 |
| Reliable Post hoc Explanations: Modeling Uncertainty in Explainability | Aug 11, 2020 | Feature Importance | CodeCode Available | 1 |
| FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification | Jul 11, 2024 | Domain AdaptationFairness | CodeCode Available | 1 |
| Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance | Jul 21, 2020 | Anomaly DetectionFeature Importance | 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 |
| Joint Shapley values: a measure of joint feature importance | Jul 23, 2021 | Feature 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 |
| Learning to Faithfully Rationalize by Construction | Apr 30, 2020 | Feature Importancetext-classification | CodeCode Available | 1 |
| Multi-View Adaptive Fusion Network for 3D Object Detection | Nov 2, 2020 | 3D Object DetectionAutonomous Driving | CodeCode Available | 1 |
| MusicLIME: Explainable Multimodal Music Understanding | Sep 16, 2024 | Decision MakingFairness | CodeCode Available | 1 |
| Neural Eigenfunctions Are Structured Representation Learners | Oct 23, 2022 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations | Oct 10, 2024 | FairnessFeature Importance | CodeCode Available | 1 |
| Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation | Dec 16, 2021 | Feature ImportanceScene Understanding | 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 |
