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Incorporating Domain Knowledge into Deep Neural Networks

27 February 2021

Papers citing "Incorporating Domain Knowledge into Deep Neural Networks"

26 / 26 papers shown

Title
Incorporating Symbolic Domain Knowledge into Graph Neural Networks T. Dash A. Srinivasan Lovekesh Vig NAI 90 25 0 23 Oct 2020
Propositionalization and Embeddings: Two Sides of the Same Coin Nada Lavrac Blaž Škrlj Marko Robnik-Šikonja 117 26 0 08 Jun 2020
Turning 30: New Ideas in Inductive Logic Programming Andrew Cropper Sebastijan Dumancic Stephen Muggleton LRM AI4CE 101 83 0 25 Feb 2020
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem Mattia Silvestri M. Lombardi M. Milano AI4CE 105 19 0 25 Feb 2020
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning Ugur Kursuncu Manas Gaur A. Sheth NAI 67 58 0 01 Dec 2019
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 192 4,474 0 07 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 135 6,321 0 22 Oct 2019
Towards Knowledge-Based Recommender Dialog System Qibin Chen Junyang Lin Yichang Zhang Ming Ding Yukuo Cen Hongxia Yang Jie Tang 62 240 0 15 Aug 2019
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 97 561 0 18 Jul 2019
Augmenting Neural Networks with First-order Logic Tao Li Vivek Srikumar 49 109 0 14 Jun 2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks Namyong Park Andrey Kan Xin Luna Dong Tong Zhao Christos Faloutsos 57 158 0 21 May 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 96 643 0 29 Mar 2019
Knowledge Graph Convolutional Networks for Recommender Systems Hongwei Wang Miao Zhao Xing Xie Wenjie Li Minyi Guo 82 933 0 18 Mar 2019
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation Xuan Liu Xiaoguang Wang Stan Matwin HAI 57 101 0 28 Dec 2018
Logical Explanations for Deep Relational Machines Using Relevance Information A. Srinivasan Lovekesh Vig Michael Bain FAtt 32 15 0 02 Jul 2018
Knowledge-Based Distant Regularization in Learning Probabilistic Models Naoya Takeishi Kosuke Akimoto 46 5 0 29 Jun 2018
Embedding Logical Queries on Knowledge Graphs William L. Hamilton Payal Bajaj Marinka Zitnik Dan Jurafsky J. Leskovec NAI 87 291 0 05 Jun 2018
A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu Zilu Zhang Tal Friedman Yitao Liang Guy Van den Broeck 107 453 0 29 Nov 2017
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 129 487 0 13 Nov 2017
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation Tarek R. Besold Artur Garcez Sebastian Bader Howard L. Bowman Pedro M. Domingos ... P. Lima L. Penning Gadi Pinkas Hoifung Poon Gerson Zaverucha LRM AI4CE 87 347 0 10 Nov 2017
Regularization for Deep Learning: A Taxonomy J. Kukačka Vladimir Golkov Daniel Cremers 88 336 0 29 Oct 2017
Lifted Rule Injection for Relation Embeddings T. Demeester Tim Rocktaschel Sebastian Riedel NAI 74 146 0 27 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 183 3,708 0 10 Jun 2016
Harnessing Deep Neural Networks with Logic Rules Zhiting Hu Xuezhe Ma Zhengzhong Liu Eduard H. Hovy Eric Xing AI4CE NAI 109 614 0 21 Mar 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,745 0 09 Mar 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 238 8,363 0 06 Nov 2014