Multi-Label Classification Neural Networks with Hard Logical Constraints

DOI10.1613/jair.1.12850OpenAlexW3190541158MaRDI QIDQ5026213

Eleonora Giunchiglia, Thomas Lukasiewicz

Publication date: 7 February 2022

Published in: Journal of Artificial Intelligence Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2103.13427

zbMATH Keywords

neural networksknowledge representationlogic programmingmachine learning

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Related Items (1)

Refining neural network predictions using background knowledge

Uses Software

• RCV1
• Scikit
• ML-KNN
• ImageNet
• Adam
• DeepGO
• DeepXplore
• DeepGauge

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Hierarchical multi-label classification using local neural networks
• A survey of hierarchical classification across different application domains
• Semantic-based regularization for learning and inference
• ML-KNN: A lazy learning approach to multi-label learning
• Decision trees for hierarchical multi-label classification
• A survey of safety and trustworthiness of deep neural networks: verification, testing, adversarial attack and defence, and interpretability
• Should we really use post-hoc tests based on mean-ranks?
• Predicting Gene Function using Predictive Clustering Trees
• Compiling Probabilistic Graphical Models Using Sentential Decision Diagrams
• Machine Learning: ECML 2004
• Machine Learning: ECML 2004

This page was built for publication: Multi-Label Classification Neural Networks with Hard Logical Constraints