| Attention is not Explanation | Feb 26, 2019 | Feature Importance | CodeCode Available | 3 |
| OpenFE: Automated Feature Generation with Expert-level Performance | Nov 22, 2022 | Feature Importance | CodeCode Available | 2 |
| An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records | Jun 13, 2024 | Adversarial RobustnessExplainable Artificial Intelligence (XAI) | CodeCode Available | 2 |
| Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models | Oct 28, 2024 | Computational EfficiencyFeature Importance | CodeCode Available | 2 |
| Inseq: An Interpretability Toolkit for Sequence Generation Models | Feb 27, 2023 | DecoderFeature Importance | CodeCode Available | 2 |
| Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End | Nov 10, 2020 | Causal Inferencecounterfactual | CodeCode Available | 2 |
| Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels | Sep 25, 2023 | Anomaly DetectionComputational Efficiency | CodeCode Available | 1 |
| Counterfactual Shapley Additive Explanations | Oct 27, 2021 | counterfactualCounterfactual Explanation | 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 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Concept Activation Regions: A Generalized Framework For Concept-Based Explanations | Sep 22, 2022 | Feature Importance | 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 |
| CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models | Dec 6, 2023 | Feature ImportancePhilosophy | CodeCode Available | 1 |
| Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game | Oct 24, 2022 | Feature Importance | 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 |
| All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation | Sep 29, 2024 | AllData Compression | CodeCode Available | 1 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | 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 |
| 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 |
| Compressing Features for Learning with Noisy Labels | Jun 27, 2022 | Feature CompressionFeature Importance | CodeCode Available | 1 |
| Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation | Dec 16, 2021 | Feature ImportanceScene Understanding | CodeCode Available | 1 |
| agtboost: Adaptive and Automatic Gradient Tree Boosting Computations | Aug 28, 2020 | Feature Importance | CodeCode Available | 1 |
