Learning to Infer Generative Template Programs for Visual Concepts -- ICML 2024
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Updated
Jun 9, 2024 - Python
Learning to Infer Generative Template Programs for Visual Concepts -- ICML 2024
My Concept Learning algorithms implementation.
Concept length prediction for the ALC description logic.
EDGE, "Evaluation of Diverse Knowledge Graph Explanations", is a framework to benchmark diverse explanations (e.g., subgraph vs logical) for node classification in knowledge graphs.
OntoSample is a python package that offers classic sampling techniques for OWL ontologies/knowledge bases. Furthermore, we have tailored the classic sampling techniques to the setting of concept learning making use of learning problem.
Implementation of FCA and Orcale-Learning for learning implication bases
[AAAI 2024] ConceptBed Evaluations for Personalized Text-to-Image Diffusion Models
The Codebase for Causal Proxy Model
Machine Learning Lab Programs in the curriculum
Ontolearn is an open-source software library for explainable structured machine learning in Python. It learns OWL class expressions from positive and negative examples.
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
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