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Learning Explanatory Rules from Noisy Data

Learning Explanatory Rules from Noisy Data

13 November 2017
Richard Evans
Edward Grefenstette
ArXivPDFHTML

Papers citing "Learning Explanatory Rules from Noisy Data"

50 / 252 papers shown
Title
Incorporating Domain Knowledge into Deep Neural Networks
Incorporating Domain Knowledge into Deep Neural Networks
T. Dash
Sharad Chitlangia
Aditya Ahuja
A. Srinivasan
AI4CE
14
9
0
27 Feb 2021
Differentiable Logic Machines
Differentiable Logic Machines
Matthieu Zimmer
Xuening Feng
Claire Glanois
Zhaohui Jiang
Jianyi Zhang
Paul Weng
Li Dong
Hao Jianye
Liu Wulong
AI4CE
13
21
0
23 Feb 2021
Inductive logic programming at 30
Inductive logic programming at 30
Andrew Cropper
Sebastijan Dumancic
Richard Evans
Stephen Muggleton
AI4CE
17
75
0
21 Feb 2021
Learning logic programs by explaining their failures
Learning logic programs by explaining their failures
Rolf Morel
Andrew Cropper
LRM
13
2
0
18 Feb 2021
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for
  Reinforcement Learning
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning
Zhengyao Jiang
Pasquale Minervini
Minqi Jiang
Tim Rocktaschel
AI4CE
11
7
0
08 Feb 2021
Top Program Construction and Reduction for polynomial time
  Meta-Interpretive Learning
Top Program Construction and Reduction for polynomial time Meta-Interpretive Learning
S. Patsantzis
Stephen Muggleton
14
5
0
13 Jan 2021
Logic Tensor Networks
Logic Tensor Networks
Samy Badreddine
Artur Garcez
Luciano Serafini
Michael Spranger
NAI
70
196
0
25 Dec 2020
Neurosymbolic AI: The 3rd Wave
Neurosymbolic AI: The 3rd Wave
Artur Garcez
Luís C. Lamb
NAI
57
287
0
10 Dec 2020
NSL: Hybrid Interpretable Learning From Noisy Raw Data
NSL: Hybrid Interpretable Learning From Noisy Raw Data
Daniel Cunnington
A. Russo
Mark Law
Jorge Lobo
Lance M. Kaplan
NAI
14
3
0
09 Dec 2020
Learning functional programs with function invention and reuse
Learning functional programs with function invention and reuse
Andrei Diaconu
9
1
0
17 Nov 2020
Resource Constrained Dialog Policy Learning via Differentiable Inductive
  Logic Programming
Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming
Zhenpeng Zhou
Ahmad Beirami
Paul A. Crook
Pararth Shah
R. Subba
A. Geramifard
19
3
0
10 Nov 2020
Exploring End-to-End Differentiable Natural Logic Modeling
Exploring End-to-End Differentiable Natural Logic Modeling
Yufei Feng
Zióu Zheng
Quan Liu
Michael A. Greenspan
Xiao-Dan Zhu
8
13
0
08 Nov 2020
Neural-Symbolic Integration: A Compositional Perspective
Neural-Symbolic Integration: A Compositional Perspective
Efthymia Tsamoura
Loizos Michael
NAI
14
68
0
22 Oct 2020
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Jing Zhang
Bo Chen
Lingxi Zhang
Xirui Ke
Haipeng Ding
NAI
13
3
0
12 Oct 2020
Abductive Knowledge Induction From Raw Data
Abductive Knowledge Induction From Raw Data
Wang-Zhou Dai
Stephen Muggleton
13
45
0
07 Oct 2020
Measuring Systematic Generalization in Neural Proof Generation with
  Transformers
Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Angelard-Gontier
Koustuv Sinha
Siva Reddy
C. Pal
LRM
9
63
0
30 Sep 2020
Neural Networks Enhancement with Logical Knowledge
Neural Networks Enhancement with Logical Knowledge
Alessandro Daniele
Luciano Serafini
NAI
14
3
0
13 Sep 2020
That looks interesting! Personalizing Communication and Segmentation
  with Random Forest Node Embeddings
That looks interesting! Personalizing Communication and Segmentation with Random Forest Node Embeddings
Weiwei Wang
Wiebke Eberhardt
Stefano Bromuri
12
1
0
13 Sep 2020
Machine Reasoning Explainability
Machine Reasoning Explainability
K. Čyras
R. Badrinath
S. Mohalik
A. Mujumdar
Alexandros Nikou
Alessandro Previti
Vaishnavi Sundararajan
Aneta Vulgarakis Feljan
LRM
15
13
0
01 Sep 2020
Neural Learning of One-of-Many Solutions for Combinatorial Problems in
  Structured Output Spaces
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
Yatin Nandwani
Deepanshu Jindal
Mausam
Parag Singla
8
13
0
27 Aug 2020
Inducing game rules from varying quality game play
Inducing game rules from varying quality game play
Alastair Flynn
6
0
0
04 Aug 2020
Computing Optimal Decision Sets with SAT
Computing Optimal Decision Sets with SAT
Jinqiang Yu
Alexey Ignatiev
Peter James Stuckey
P. L. Bodic
FAtt
6
26
0
29 Jul 2020
Learning Reasoning Strategies in End-to-End Differentiable Proving
Learning Reasoning Strategies in End-to-End Differentiable Proving
Pasquale Minervini
Sebastian Riedel
Pontus Stenetorp
Edward Grefenstette
Tim Rocktaschel
LRM
24
94
0
13 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks
Beyond Graph Neural Networks with Lifted Relational Neural Networks
Gustav Sourek
F. Železný
Ondrej Kuzelka
NAI
23
17
0
13 Jul 2020
Lossless Compression of Structured Convolutional Models via Lifting
Lossless Compression of Structured Convolutional Models via Lifting
Gustav Sourek
F. Železný
Ondrej Kuzelka
11
12
0
13 Jul 2020
Evaluating the Apperception Engine
Evaluating the Apperception Engine
Richard Evans
Jose Hernandez-Orallo
Johannes Welbl
Pushmeet Kohli
Marek Sergot
12
4
0
09 Jul 2020
Logical Neural Networks
Logical Neural Networks
Ryan Riegel
Alexander G. Gray
F. Luus
Naweed Khan
Ndivhuwo Makondo
...
S. Ikbal
Hima P. Karanam
S. Neelam
Ankita Likhyani
S. Srivastava
NAI
6
147
0
23 Jun 2020
Conversational Neuro-Symbolic Commonsense Reasoning
Conversational Neuro-Symbolic Commonsense Reasoning
Forough Arabshahi
Jennifer Lee
Mikayla Gawarecki
Kathryn Mazaitis
A. Azaria
Tom Michael Mitchell
LRM
12
48
0
17 Jun 2020
Symbolic Logic meets Machine Learning: A Brief Survey in Infinite
  Domains
Symbolic Logic meets Machine Learning: A Brief Survey in Infinite Domains
Vaishak Belle
NAI
LRM
6
36
0
15 Jun 2020
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception,
  Grammar Parsing, and Symbolic Reasoning
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
Qing Li
Siyuan Huang
Yining Hong
Yixin Chen
Ying Nian Wu
Song-Chun Zhu
NAI
18
81
0
11 Jun 2020
Analyzing Differentiable Fuzzy Implications
Analyzing Differentiable Fuzzy Implications
Emile van Krieken
Erman Acar
F. V. Harmelen
AI4CE
8
29
0
04 Jun 2020
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link
  Inference and Computation from Knowledge Bases
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases
Henrique Lemos
Pedro H. C. Avelar
Marcelo O. R. Prates
Luís C. Lamb
Artur Garcez
NAI
10
3
0
05 May 2020
Learning programs by learning from failures
Learning programs by learning from failures
Andrew Cropper
Rolf Morel
13
87
0
05 May 2020
A multi-component framework for the analysis and design of explainable
  artificial intelligence
A multi-component framework for the analysis and design of explainable artificial intelligence
S. Atakishiyev
H. Babiker
Nawshad Farruque
R. Goebel1
Myeongjung Kima
M. H. Motallebi
J. Rabelo
T. Syed
O. R. Zaïane
32
35
0
05 May 2020
Leveraging Declarative Knowledge in Text and First-Order Logic for
  Fine-Grained Propaganda Detection
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
Ruize Wang
Duyu Tang
Nan Duan
Wanjun Zhong
Zhongyu Wei
Xuanjing Huang
Daxin Jiang
Ming Zhou
NAI
4
3
0
29 Apr 2020
Semi-Lexical Languages -- A Formal Basis for Unifying Machine Learning
  and Symbolic Reasoning in Computer Vision
Semi-Lexical Languages -- A Formal Basis for Unifying Machine Learning and Symbolic Reasoning in Computer Vision
Briti Gangopadhyay
S. Hazra
P. Dasgupta
NAI
11
0
0
25 Apr 2020
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library
Dmitry Kazhdan
Z. Shams
Pietro Lió
14
15
0
16 Apr 2020
Neural Status Registers
Neural Status Registers
Lukas Faber
Roger Wattenhofer
14
9
0
15 Apr 2020
Learning Over Dirty Data Without Cleaning
Learning Over Dirty Data Without Cleaning
Jose Picado
John Davis
Arash Termehchy
Ga-young Lee
OnRL
6
22
0
05 Apr 2020
OptTyper: Probabilistic Type Inference by Optimising Logical and Natural
  Constraints
OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints
Irene Vlassi Pandi
Earl T. Barr
Andrew D. Gordon
Charles Sutton
6
29
0
01 Apr 2020
Incorporating Relational Background Knowledge into Reinforcement
  Learning via Differentiable Inductive Logic Programming
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming
Ali Payani
Faramarz Fekri
14
18
0
23 Mar 2020
Learning Nonlinear Loop Invariants with Gated Continuous Logic Networks
  (Extended Version)
Learning Nonlinear Loop Invariants with Gated Continuous Logic Networks (Extended Version)
Jianan Yao
Gabriel Ryan
Justin Wong
Suman Jana
Ronghui Gu
AI4CE
14
49
0
17 Mar 2020
Evaluating Logical Generalization in Graph Neural Networks
Evaluating Logical Generalization in Graph Neural Networks
Koustuv Sinha
Shagun Sodhani
Joelle Pineau
William L. Hamilton
NAI
AI4CE
28
23
0
14 Mar 2020
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and
  Perspective
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Luís C. Lamb
Artur S. dÁvila Garcez
Marco Gori
Marcelo O. R. Prates
Pedro H. C. Avelar
Moshe Y. Vardi
NAI
AI4CE
17
65
0
29 Feb 2020
Turning 30: New Ideas in Inductive Logic Programming
Turning 30: New Ideas in Inductive Logic Programming
Andrew Cropper
Sebastijan Dumancic
Stephen Muggleton
LRM
AI4CE
6
83
0
25 Feb 2020
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment
  on a Constrained Problem
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem
Mattia Silvestri
M. Lombardi
M. Milano
AI4CE
12
18
0
25 Feb 2020
VQA-LOL: Visual Question Answering under the Lens of Logic
VQA-LOL: Visual Question Answering under the Lens of Logic
Tejas Gokhale
Pratyay Banerjee
Chitta Baral
Yezhou Yang
CoGe
12
72
0
19 Feb 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
G. Marcus
VLM
16
350
0
14 Feb 2020
Analyzing Differentiable Fuzzy Logic Operators
Analyzing Differentiable Fuzzy Logic Operators
Emile van Krieken
Erman Acar
F. V. Harmelen
NAI
AI4CE
14
130
0
14 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models,
  Applications and Challenges
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
T. H. Le
Hao Chen
Muhammad Ali Babar
VLM
54
152
0
13 Feb 2020
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