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| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable 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 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | 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 |
| Counterfactual Shapley Additive Explanations | Oct 27, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 1 |
