| Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations | Mar 18, 2021 | AttributeBIG-bench Machine Learning | CodeCode Available | 1 |
| Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties | Mar 16, 2021 | counterfactual | CodeCode Available | 1 |
| RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems | Mar 14, 2021 | counterfactualProbabilistic Programming | CodeCode Available | 1 |
| A Structural Causal Model for MR Images of Multiple Sclerosis | Mar 4, 2021 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Counterfactual Zero-Shot and Open-Set Visual Recognition | Mar 1, 2021 | AttributeBinary Classification | CodeCode Available | 1 |
| Towards a Unified Framework for Fair and Stable Graph Representation Learning | Feb 25, 2021 | counterfactualFairness | CodeCode Available | 1 |
| Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays | Feb 18, 2021 | counterfactualImage Attribution | CodeCode Available | 1 |
| CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks | Feb 5, 2021 | counterfactualPrediction | CodeCode Available | 1 |
| Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms | Jan 26, 2021 | counterfactualMeta-Learning | CodeCode Available | 1 |
| Counterfactual Generative Networks | Jan 15, 2021 | Classificationcounterfactual | CodeCode Available | 1 |
| Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis | Jan 13, 2021 | counterfactualCounterfactual Inference | CodeCode Available | 1 |
| Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models | Jan 1, 2021 | counterfactualText Generation | CodeCode Available | 1 |
| Explaining NLP Models via Minimal Contrastive Editing (MiCE) | Dec 27, 2020 | counterfactualMultiple-choice | CodeCode Available | 1 |
| GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning | Dec 22, 2020 | counterfactualCounterfactual Explanation | CodeCode Available | 1 |
| Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals | Dec 18, 2020 | counterfactualGeneral Classification | CodeCode Available | 1 |
| Unifying Online and Counterfactual Learning to Rank | Dec 8, 2020 | counterfactualLearning-To-Rank | CodeCode Available | 1 |
| CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions | Dec 8, 2020 | counterfactualDescriptive | CodeCode Available | 1 |
| Unmasking Contextual Stereotypes: Measuring and Mitigating BERT’s Gender Bias | Dec 1, 2020 | counterfactualWord Embeddings | CodeCode Available | 1 |
| Reconsidering Generative Objectives For Counterfactual Reasoning | Dec 1, 2020 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Explaining by Removing: A Unified Framework for Model Explanation | Nov 21, 2020 | counterfactualCounterfactual Reasoning | CodeCode Available | 1 |
| One Explanation is Not Enough: Structured Attention Graphs for Image Classification | Nov 13, 2020 | Classificationcounterfactual | CodeCode Available | 1 |
| Explaining Deep Graph Networks with Molecular Counterfactuals | Nov 9, 2020 | counterfactualPrediction | CodeCode Available | 1 |
| Adversarial Counterfactual Learning and Evaluation for Recommender System | Nov 8, 2020 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Causal Autoregressive Flows | Nov 4, 2020 | Causal DiscoveryCausal Inference | CodeCode Available | 1 |
| Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering | Nov 1, 2020 | Contrastive Learningcounterfactual | CodeCode Available | 1 |
