Interpretable Machine Learning

The goal of Interpretable Machine Learning is to allow oversight and understanding of machine-learned decisions. Much of the work in Interpretable Machine Learning has come in the form of devising methods to better explain the predictions of machine learning models.

Source: Assessing the Local Interpretability of Machine Learning Models

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 181–190 of 537 papers

Title	Date	Tasks	Status	Score
Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning	Feb 17, 2025	Interpretable Machine Learning	CodeCode Available	5
How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning	Nov 10, 2021	Band GapBIG-bench Machine Learning	CodeCode Available	5
iNNvestigate neural networks!	Aug 13, 2018	Interpretable Machine Learning	CodeCode Available	5
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study	Oct 24, 2023	Feature ImportanceHumanitarian	CodeCode Available	5
Supervised Feature Compression based on Counterfactual Analysis	Nov 17, 2022	counterfactualCounterfactual Explanation	CodeCode Available	5
Improving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine Learning	Nov 9, 2022	Deep LearningDiagnostic	CodeCode Available	5
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets	Jun 4, 2022	Interpretable Machine Learning	CodeCode Available	5
GFN-SR: Symbolic Regression with Generative Flow Networks	Dec 1, 2023	Deep Reinforcement LearningInterpretable Machine Learning	CodeCode Available	5
MLIC: A MaxSAT-Based framework for learning interpretable classification rules	Dec 5, 2018	BIG-bench Machine LearningClassification	CodeCode Available	5
Harnessing Interpretable Machine Learning for Holistic Inverse Design of Origami	Apr 12, 2022	BIG-bench Machine LearningInterpretable Machine Learning	CodeCode Available	5

Show:10 25 50

← PrevPage 19 of 54Next →

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Q-SENN	Top 1 Accuracy	85.9	—	Unverified
2	SLDD-Model	Top 1 Accuracy	85.7	—	Unverified