| CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations | Aug 18, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption | Jun 29, 2021 | Contrastive LearningRepresentation Learning | CodeCode Available | 0 |
| Revisiting Deep Learning Models for Tabular Data | Jun 22, 2021 | Deep Learningtabular-classification | CodeCode Available | 1 |
| Metalearning Using Structure-rich Pipeline Representations for Better AutoML | Mar 13, 2021 | AutoMLreinforcement-learning | —Unverified | 0 |
| TabTransformer: Tabular Data Modeling Using Contextual Embeddings | Dec 11, 2020 | tabular-classificationUnsupervised Pre-training | CodeCode Available | 1 |
| Ensemble Squared: A Meta AutoML System | Dec 10, 2020 | AutoMLBIG-bench Machine Learning | —Unverified | 0 |
| Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? | May 4, 2020 | counterfactualtabular-classification | CodeCode Available | 1 |
| Generative Imputation and Stochastic Prediction | May 22, 2019 | ClassificationGeneral Classification | CodeCode Available | 1 |
