Wang-Zhou Dai

Ming Li

Mach. Learn., June, 2024

Safe Abductive Learning in the Presence of Inaccurate Rules.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Knowledge-Enhanced Historical Document Segmentation and Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Abductive subconcept learning.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., February, 2023

Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings.

[BibT_eX]

[DOI]

CoRR, 2023

Human Comprehensible Active Learning of Genome-Scale Metabolic Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Enabling Abductive Learning to Exploit Knowledge Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Enabling Knowledge Refinement upon New Concepts in Abductive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Human-like Computer Vision.

[BibT_eX]

[DOI]

Proceedings of the Human-Like Machine Intelligence., 2022

2021

Automated Biodesign Engineering by Abductive Meta-Interpretive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Fast Abductive Learning by Similarity-based Consistency Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Abductive Knowledge Induction from Raw Data.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Abductive Learning with Ground Knowledge Base.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Bridging Machine Learning and Logical Reasoning by Abductive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Meta-Interpretive Learning from noisy images.

[BibT_eX]

[DOI]

Claude Sammut

Alireza Tamaddoni-Nezhad

Jing Wen

Mach. Learn., 2018

Tunneling Neural Perception and Logic Reasoning through Abductive Learning.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Logical Vision: One-Shot Meta-Interpretive Learning from Real Images.

[BibT_eX]

[DOI]

Jing Wen

Alireza Tamaddoni-Nezhad

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts.

[BibT_eX]

[DOI]

Proceedings of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming, 2015

Statistical Unfolded Logic Learning.

[BibT_eX]

[DOI]

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014

Inductive Logic Boosting.

[BibT_eX]

[DOI]

CoRR, 2014

2011

Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process.

[BibT_eX]

[DOI]

Yang Yu