A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks

21 July 2021

Papers citing "A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks"

40 / 40 papers shown

Title
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room Danial Hooshyar Gustav Šír Yeongwook Yang Eve Kikas Raija Hamalainen T. Karkkainen Dragan Gašević Roger Azevedo 27 0 0 22 Apr 2025
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods Danial Hooshyar Eve Kikas Yeongwook Yang Gustav Šír Raija Hamalainen T. Karkkainen Roger Azevedo 49 1 0 01 Apr 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization Zilin Dai Lehong Wang Fangzhou Lin Yidong Wang Zhigang Li Kazunori D Yamada Ziming Zhang Wang Lu 57 0 0 21 Mar 2025
Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping Yikang Liu Lin Zhao Eric Z. Chen Xiao Chen Terrence Chen Shanhui Sun MedIm 26 0 0 28 Aug 2024
Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners Chun Feng Joy Hsu Weiyu Liu Jiajun Wu PINN LRM 33 6 0 30 Apr 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 25 5 0 11 Mar 2024
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models Luca Arrotta Claudio Bettini Gabriele Civitarese Michele Fiori 29 8 0 11 Mar 2024
Deep Neural Network for Constraint Acquisition through Tailored Loss Function Eduardo Vyhmeister Rocio Paez Gabriel Gonzalez 17 0 0 04 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Geometry-Informed Neural Networks Arturs Berzins Andreas Radler Sebastian Sanokowski Sepp Hochreiter Johannes Brandstetter GAN AI4CE 28 1 0 21 Feb 2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts Emanuele Marconato Samuele Bortolotti Emile van Krieken Antonio Vergari Andrea Passerini Stefano Teso 33 17 0 19 Feb 2024
Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs M. Daggitt Wen Kokke R. Atkey Natalia Slusarz Luca Arnaboldi Ekaterina Komendantskaya NAI 15 9 0 12 Jan 2024
Image classification network enhancement methods based on knowledge injection Yishuang Tian Ning Wang Liang Zhang 20 1 0 09 Jan 2024
VALUED -- Vision and Logical Understanding Evaluation Dataset Soumadeep Saha Saptarshi Saha Utpal Garain 20 0 0 21 Nov 2023
A knowledge representation approach for construction contract knowledge modeling Chunmo Zheng Saika Wong Xing Su Yinqiu Tang 22 2 0 21 Sep 2023
Beyond Traditional Neural Networks: Toward adding Reasoning and Learning Capabilities through Computational Logic Techniques Andrea Rafanelli NAI 13 0 0 30 Aug 2023
Planning with Logical Graph-based Language Model for Instruction Generation Fan Zhang Kebing Jin H. Zhuo LRM 32 2 0 26 Aug 2023
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts Emanuele Marconato Stefano Teso Antonio Vergari Andrea Passerini 24 30 0 31 May 2023
DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning Sicen Liu Xiaolong Wang Xianbing Zhao Haoxing Chen 23 0 0 31 May 2023
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace Jinyung Hong Keun Hee Park Theodore P. Pavlic 8 5 0 25 May 2023
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning J. H. Caufield Harshad B. Hegde Vincent Emonet N. Harris marcin p. joachimiak ... Sierra A T Moxon Justin P Reese M. Haendel Peter N. Robinson Christopher J. Mungall 19 74 0 05 Apr 2023
GLUECons: A Generic Benchmark for Learning Under Constraints Hossein Rajaby Faghihi Aliakbar Nafar Chen Zheng Roshanak Mirzaee Yue Zhang Andrzej Uszok Alexander Wan Tanawan Premsri Dan Roth Parisa Kordjamshidi ELM VLM 27 13 0 16 Feb 2023
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics Pengmiao Zhang R. Kannan Viktor K. Prasanna 11 2 0 10 Dec 2022
Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss Vedant Shah Aditya Agrawal L. Vig A. Srinivasan Gautam M. Shroff T. Verlekar AI4CE 11 0 0 29 Nov 2022
Brain informed transfer learning for categorizing construction hazards Xiaoshan Zhou P-C. Liao 14 2 0 17 Nov 2022
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective Peter Baumgartner Daniel V. Smith Mashud Rana Reena Kapoor Elena Tartaglia A. Schutt Ashfaqur Rahman John Taylor S. Dunstall 17 4 0 04 Oct 2022
Wide-Area Geolocalization with a Limited Field of View Camera Lena M. Downes T. Steiner Rebecca L. Russell Jonathan P. How 16 3 0 23 Sep 2022
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology Muhammad Hassan Haifei Guan Aikaterini Melliou Yuqi Wang Qianhui Sun ... Qi Huang Jiefu Tan Qinwang Xing Peiwu Qin Dongmei Yu NAI 14 14 0 31 Jul 2022
Semantic Probabilistic Layers for Neuro-Symbolic Learning Kareem Ahmed Stefano Teso Kai-Wei Chang Guy Van den Broeck Antonio Vergari TPM 11 75 0 01 Jun 2022
Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task G. Rosa L. Bonifacio Vitor Jeronymo Hugo Queiroz Abonizio R. Lotufo Rodrigo Nogueira AILaw ELM 28 10 0 30 May 2022
Deep Learning with Logical Constraints Eleonora Giunchiglia Mihaela C. Stoian Thomas Lukasiewicz NAI AI4CE 11 61 0 01 May 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 27 107 0 04 Apr 2022
EINNs: Epidemiologically-informed Neural Networks Alexander Rodríguez Jiaming Cui Naren Ramakrishnan B. Adhikari B. Prakash 17 28 0 21 Feb 2022
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks Prithviraj Sen B. W. Carvalho Ryan Riegel Alexander G. Gray NAI AI4CE 74 53 0 06 Dec 2021
AI Descartes: Combining Data and Theory for Derivable Scientific Discovery Cristina Cornelio S. Dash V. Austel Tyler R. Josephson Joao Goncalves K. Clarkson N. Megiddo Bachir El Khadir L. Horesh AI4CE 11 7 0 03 Sep 2021
Superpixel-based Knowledge Infusion in Deep Neural Networks for Image Classification Gunjan Chhablani Abheesht Sharma Harshit Pandey T. Dash SupR 19 6 0 20 May 2021
NeuralLog: a Neural Logic Language Victor Guimarães Vítor Santos Costa NAI 15 5 0 04 May 2021
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? Manas Gaur Keyur Faldu A. Sheth 29 110 0 16 Oct 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 288 4,143 0 23 Aug 2019
kLog: A Language for Logical and Relational Learning with Kernels Paolo Frasconi Fabrizio Costa Luc De Raedt Kurt De Grave 32 52 0 17 May 2012