Learning Explanatory Rules from Noisy Data

13 November 2017

Papers citing "Learning Explanatory Rules from Noisy Data"

50 / 252 papers shown

Title
A Review of Emerging Research Directions in Abstract Visual Reasoning Mikolaj Malkiñski Jacek Mañdziuk 16 38 0 21 Feb 2022
Learning logic programs by discovering where not to search Andrew Cropper Céline Hocquette LRM 12 0 0 20 Feb 2022
Learning Temporal Rules from Noisy Timeseries Data Karan Samel Zelin Zhao Binghong Chen Shuang Li D. Subramanian Irfan Essa Le Song NoLa NAI AI4TS AI4CE 10 2 0 11 Feb 2022
Neural Models for Output-Space Invariance in Combinatorial Problems Yatin Nandwani Vidit Jain Mausam Parag Singla AAML 9 2 0 07 Feb 2022
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent Daoming Lyu Bo Liu Jianshu Chen LRM 17 1 0 01 Feb 2022
POTATO: exPlainable infOrmation exTrAcTion framewOrk Adam Kovacs Kinga Gémes Eszter Iklódi Gábor Recski 14 4 0 31 Jan 2022
Unveiling Project-Specific Bias in Neural Code Models Zhiming Li Yanzhou Li Tianlin Li Mengnan Du Bozhi Wu Yushi Cao Yi Li Yang Liu 16 5 0 19 Jan 2022
Differentiable Rule Induction with Learned Relational Features R. Kusters Yusik Kim Marine Collery C. Marie Shubham Gupta 6 14 0 17 Jan 2022
A Critical Review of Inductive Logic Programming Techniques for Explainable AI Zheng Zhang Liangliang Xu L. Yilmaz Bo Liu 16 7 0 31 Dec 2021
Learning Higher-Order Programs without Meta-Interpretive Learning Stanislaw J. Purgal David M. Cerna C. Kaliszyk 4 11 0 29 Dec 2021
Learning Logic Programs From Noisy Failures J. Wahlig 4 5 0 28 Dec 2021
Neuro-Symbolic Hierarchical Rule Induction Claire Glanois Xuening Feng Zhaohui Jiang Paul Weng Matthieu Zimmer Dong Li Wulong Liu NAI 12 22 0 26 Dec 2021
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 14 89 0 24 Dec 2021
Logical Boltzmann Machines Son N. Tran Artur Garcez 11 3 0 10 Dec 2021
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
Systematic Generalization with Edge Transformers Leon Bergen Timothy J. O'Donnell Dzmitry Bahdanau 10 46 0 01 Dec 2021
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning Chi Zhang Sirui Xie Baoxiong Jia Ying Nian Wu Song-Chun Zhu Yixin Zhu 53 36 0 25 Nov 2021
Learning Symbolic Rules for Reasoning in Quasi-Natural Language Kaiyu Yang Jia Deng NAI ReLM LRM 11 13 0 23 Nov 2021
A Survey on Neural-symbolic Learning Systems Dongran Yu Bo Yang Da Liu Hui Wang Shirui Pan 19 53 0 10 Nov 2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence Nicholas Roy Ingmar Posner T. Barfoot Philippe Beaudoin Yoshua Bengio ... S. Schaal Gaurav Sukhatme D. Thérien Marc Toussaint M. van de Panne 14 53 0 28 Oct 2021
Neuro-Symbolic Forward Reasoning Hikaru Shindo D. Dhami Kristian Kersting NAI LRM 22 22 0 18 Oct 2021
Rule Induction in Knowledge Graphs Using Linear Programming S. Dash Joao Goncalves 17 5 0 15 Oct 2021
Every time I fire a conversational designer, the performance of the dialog system goes down Giancarlo A. Xompero Michele Mastromattei Samir Salman Cristina Giannone Andrea Favalli Raniero Romagnoli Fabio Massimo Zanzotto 14 0 0 27 Sep 2021
An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets Jun Yuan O. Nov E. Bertini 15 10 0 19 Sep 2021
Learning logic programs through divide, constrain, and conquer Andrew Cropper AI4CE 11 4 0 16 Sep 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
From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey Giuseppe Marra Sebastijan Dumancic Robin Manhaeve Luc de Raedt NAI 21 59 0 25 Aug 2021
MatSat: a matrix-based differentiable SAT solver Taisuke Sato Ryosuke Kojima 9 5 0 14 Aug 2021
Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge Aryan Karn Ashutosh Acharya 11 0 0 29 Jul 2021
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study M. Grespan Ashim Gupta Vivek Srikumar NAI 20 11 0 28 Jul 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 22 128 0 21 Jul 2021
Semantic Reasoning with Differentiable Graph Transformations A. Cetoli NAI LRM 13 0 0 20 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 6 21 0 20 Jul 2021
FF-NSL: Feed-Forward Neural-Symbolic Learner Daniel Cunnington Mark Law A. Russo Jorge Lobo NAI 21 15 0 24 Jun 2021
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming Duo Xu Faramarz Fekri 8 10 0 21 Jun 2021
An Empirical Investigation into Deep and Shallow Rule Learning Florian Beck Johannes Furnkranz NAI 11 7 0 18 Jun 2021
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking Hang Jiang Sairam Gurajada Qiuhao Lu S. Neelam Lucian Popa Prithviraj Sen Yunyao Li Alexander G. Gray 14 25 0 17 Jun 2021
Techniques for Symbol Grounding with SATNet Sever Topan David Rolnick X. Si NAI 11 22 0 16 Jun 2021
pix2rule: End-to-end Neuro-symbolic Rule Learning Nuri Cingillioglu A. Russo NAI 21 9 0 14 Jun 2021
Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents K. Murugesan Subhajit Chaudhury Kartik Talamadupula 15 5 0 09 Jun 2021
Meta-Interpretive Learning as Metarule Specialisation S. Patsantzis Stephen Muggleton 14 2 0 09 Jun 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert Pasquale Minervini Luca Franceschi 11 81 0 03 Jun 2021
Predicate Invention by Learning From Failures Andrew Cropper Rolf Morel 9 12 0 29 Apr 2021
Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence Weigang Li L. Enamoto Denise Leyi Li G. P. R. Filho VLM 4 0 0 27 Apr 2021
Probabilistic Programming Bots in Intuitive Physics Game Play Fahad Alhasoun Sarah Alnegheimish J. Tenenbaum 14 0 0 05 Apr 2021
Geometry of Program Synthesis James Clift Daniel Murfet James Wallbridge 17 2 0 30 Mar 2021
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning Zhihao Ma Yuzheng Zhuang Paul Weng Hankui Zhuo Dong Li Wulong Liu Jianye Hao NAI 32 13 0 15 Mar 2021
Differentiable Inductive Logic Programming for Structured Examples Hikaru Shindo Masaaki Nishino Akihiro Yamamoto NAI 32 29 0 02 Mar 2021
A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics Qing Li Siyuan Huang Yining Hong Yixin Zhu Ying Nian Wu Song-Chun Zhu AIMat 11 6 0 02 Mar 2021
Visualizing Rule Sets: Exploration and Validation of a Design Space Jun Yuan O. Nov E. Bertini 18 1 0 01 Mar 2021