| Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction | Apr 23, 2021 | counterfactualPrediction | CodeCode Available | 0 |
| Neural Networks for Learning Counterfactual G-Invariances from Single Environments | Apr 20, 2021 | counterfactual | CodeCode Available | 0 |
| DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss | Apr 19, 2021 | counterfactualDecision Making | —Unverified | 0 |
| Optimal Counterfactual Explanations for Scorecard modelling | Apr 17, 2021 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 1 |
| MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks | Apr 16, 2021 | counterfactualExplainable Artificial Intelligence (XAI) | CodeCode Available | 1 |
| NICE: An Algorithm for Nearest Instance Counterfactual Explanations | Apr 15, 2021 | counterfactual | CodeCode Available | 1 |
| I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews | Apr 14, 2021 | counterfactualCounterfactual Detection | CodeCode Available | 1 |
| Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning | Apr 14, 2021 | counterfactualDeep Reinforcement Learning | CodeCode Available | 1 |
| δ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates | Apr 13, 2021 | counterfactual | —Unverified | 0 |
| LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information | Apr 13, 2021 | counterfactualDecision Making | CodeCode Available | 0 |
