| DeltaPy: A Framework for Tabular Data Augmentation in Python | May 22, 2020 | BIG-bench Machine LearningData Augmentation | CodeCode Available | 1 | 5 |
| DeltaGrad: Rapid retraining of machine learning models | Jun 26, 2020 | BIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline | Jun 2, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 1 | 5 |
| Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks | Sep 19, 2019 | BIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Density estimation using Real NVP | May 27, 2016 | BIG-bench Machine LearningDensity Estimation | CodeCode Available | 1 | 5 |
| Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge Devices | Nov 29, 2021 | BIG-bench Machine LearningEEG | CodeCode Available | 1 | 5 |
| Adversarial Robustness for Code | Feb 11, 2020 | Adversarial RobustnessBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning | Feb 18, 2021 | BIG-bench Machine LearningCombinatorial Optimization | CodeCode Available | 1 | 5 |
| From Things' Modeling Language (ThingML) to Things' Machine Learning (ThingML2) | Sep 22, 2020 | BIG-bench Machine LearningCode Generation | CodeCode Available | 1 | 5 |
| Hyperbolic Neural Networks++ | Jun 15, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 1 | 5 |
| Detecting Hateful Memes Using a Multimodal Deep Ensemble | Dec 24, 2020 | BIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Machine learning in spectral domain | May 29, 2020 | BIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification | Jan 8, 2021 | BIG-bench Machine LearningClassification | CodeCode Available | 1 | 5 |
| Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning | Nov 29, 2020 | BIG-bench Machine LearningInterpretable Machine Learning | CodeCode Available | 1 | 5 |
| Shared Data and Algorithms for Deep Learning in Fundamental Physics | Jul 1, 2021 | BIG-bench Machine LearningDeep Learning | CodeCode Available | 1 | 5 |
| From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence | Apr 27, 2021 | BIG-bench Machine LearningInterpretable Machine Learning | CodeCode Available | 0 | 5 |
| Explaining Explanations: An Overview of Interpretability of Machine Learning | May 31, 2018 | BIG-bench Machine LearningExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 | 5 |
| Explaining Hyperparameter Optimization via Partial Dependence Plots | Nov 8, 2021 | Bayesian OptimizationBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics | Jul 17, 2019 | BIG-bench Machine LearningData Poisoning | CodeCode Available | 0 | 5 |
| Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions | Oct 27, 2020 | BIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| AdaGrid: Adaptive Grid Search for Link Prediction Training Objective | Mar 30, 2022 | BIG-bench Machine LearningGraph Neural Network | CodeCode Available | 0 | 5 |
| explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning | Jul 29, 2019 | BIG-bench Machine LearningExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 | 5 |
| A Higher-Order Swiss Army Infinitesimal Jackknife | Jul 28, 2019 | BIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| A high-bias, low-variance introduction to Machine Learning for physicists | Mar 23, 2018 | BIG-bench Machine LearningClustering | CodeCode Available | 0 | 5 |
| Explaining a black-box using Deep Variational Information Bottleneck Approach | Feb 19, 2019 | BIG-bench Machine LearningInterpretable Machine Learning | CodeCode Available | 0 | 5 |
