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The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and
  Sentences From Natural Supervision

The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

26 April 2019
Jiayuan Mao
Chuang Gan
Pushmeet Kohli
J. Tenenbaum
Jiajun Wu
    NAI
ArXiv (abs)PDFHTML

Papers citing "The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision"

50 / 403 papers shown
Title
KANDINSKYPatterns -- An experimental exploration environment for Pattern
  Analysis and Machine Intelligence
KANDINSKYPatterns -- An experimental exploration environment for Pattern Analysis and Machine Intelligence
Andreas Holzinger
Anna Saranti
Heimo Mueller
114
10
0
28 Feb 2021
Abstraction and Analogy-Making in Artificial Intelligence
Abstraction and Analogy-Making in Artificial Intelligence
Melanie Mitchell
95
167
0
22 Feb 2021
Understanding in Artificial Intelligence
Understanding in Artificial Intelligence
S. Maetschke
D. M. Iraola
Pieter Barnard
Elaheh Shafieibavani
Peter Zhong
Ying Xu
Antonio Jimeno Yepes
ELMVLM
44
0
0
17 Jan 2021
Language-Mediated, Object-Centric Representation Learning
Language-Mediated, Object-Centric Representation Learning
Ruocheng Wang
Jiayuan Mao
S. Gershman
Jiajun Wu
84
12
0
31 Dec 2020
Emergent Symbols through Binding in External Memory
Emergent Symbols through Binding in External Memory
Taylor Webb
I. Sinha
Jonathan Cohen
115
65
0
29 Dec 2020
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Minne Li
Mengyue Yang
Furui Liu
Xu Chen
Zhitang Chen
Jun Wang
SyDaCML
50
13
0
28 Dec 2020
Logic Tensor Networks
Logic Tensor Networks
Samy Badreddine
Artur Garcez
Luciano Serafini
Michael Spranger
NAI
178
212
0
25 Dec 2020
Object-Centric Diagnosis of Visual Reasoning
Object-Centric Diagnosis of Visual Reasoning
Jianwei Yang
Jiayuan Mao
Jiajun Wu
Devi Parikh
David D. Cox
J. Tenenbaum
Chuang Gan
OCL
82
16
0
21 Dec 2020
Using Meta-Knowledge Mined from Identifiers to Improve Intent
  Recognition in Neuro-Symbolic Algorithms
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms
Claudio S. Pinhanez
Paulo Cavalin
Victor Henrique Alves Ribeiro
Heloisa Candello
J. Nogima
...
M. Pichiliani
Maira Gatti de Bayser
M. Guerra
H. Ferreira
G. Malfatti
13
2
0
16 Dec 2020
Neurosymbolic AI: The 3rd Wave
Neurosymbolic AI: The 3rd Wave
Artur Garcez
Luís C. Lamb
NAI
109
315
0
10 Dec 2020
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
308
267
0
09 Dec 2020
Neurosymbolic AI for Situated Language Understanding
Neurosymbolic AI for Situated Language Understanding
Nikhil Krishnaswamy
James Pustejovsky
NAI
65
4
0
05 Dec 2020
Learning from Lexical Perturbations for Consistent Visual Question
  Answering
Learning from Lexical Perturbations for Consistent Visual Question Answering
Spencer Whitehead
Hui Wu
Yi R. Fung
Heng Ji
Rogerio Feris
Kate Saenko
61
11
0
26 Nov 2020
Right for the Right Concept: Revising Neuro-Symbolic Concepts by
  Interacting with their Explanations
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
Wolfgang Stammer
P. Schramowski
Kristian Kersting
FAtt
101
112
0
25 Nov 2020
XTQA: Span-Level Explanations of the Textbook Question Answering
XTQA: Span-Level Explanations of the Textbook Question Answering
Jie Ma
Q. Zheng
Jun Liu
Qingyu Yin
Jianlong Zhou
Y. Huang
34
13
0
25 Nov 2020
Interpretable Visual Reasoning via Induced Symbolic Space
Interpretable Visual Reasoning via Induced Symbolic Space
Zhonghao Wang
Kai Wang
Mo Yu
Jinjun Xiong
Wen-mei W. Hwu
M. Hasegawa-Johnson
Humphrey Shi
LRMOCL
56
20
0
23 Nov 2020
Consistency-Aware Graph Network for Human Interaction Understanding
Consistency-Aware Graph Network for Human Interaction Understanding
Zhenhua Wang
Jiajun Meng
Dongyan Guo
Jianhua Zhang
Javen Qinfeng Shi
Shengyong Chen
GNN
27
3
0
20 Nov 2020
Neural Abstract Reasoner
Neural Abstract Reasoner
Victor Kolev
B. Georgiev
Svetlin Penkov
NAI
54
10
0
12 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
92
13
0
08 Nov 2020
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning
Mihir Prabhudesai
Shamit Lal
Darshan Patil
H. Tung
Adam W. Harley
Katerina Fragkiadaki
OCL3DV3DPC
117
20
0
06 Nov 2020
Modular Networks for Compositional Instruction Following
Modular Networks for Compositional Instruction Following
Rodolfo Corona
Daniel Fried
Coline Devin
Dan Klein
Trevor Darrell
94
5
0
24 Oct 2020
Modeling Content and Context with Deep Relational Learning
Modeling Content and Context with Deep Relational Learning
Maria Leonor Pacheco
Dan Goldwasser
NAI
105
34
0
20 Oct 2020
A Survey of Knowledge-Enhanced Text Generation
A Survey of Knowledge-Enhanced Text Generation
Wenhao Yu
Chenguang Zhu
Zaitang Li
Zhiting Hu
Qingyun Wang
Heng Ji
Meng Jiang
132
290
0
09 Oct 2020
A Benchmark and Baseline for Language-Driven Image Editing
A Benchmark and Baseline for Language-Driven Image Editing
Jing Shi
Ning Xu
Trung Bui
Franck Dernoncourt
Zheng Wen
Chenliang Xu
DiffM
219
31
0
05 Oct 2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and
  Reasoning
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
Weili Nie
Zhiding Yu
Lei Mao
Ankit B. Patel
Yuke Zhu
Anima Anandkumar
VLMLRM
102
77
0
02 Oct 2020
Graph-based Heuristic Search for Module Selection Procedure in Neural
  Module Network
Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network
Yuxuan Wu
Hideki Nakayama
GNN
37
3
0
30 Sep 2020
A Comprehensive Survey of Machine Learning Applied to Radar Signal
  Processing
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing
Ping Lang
Xiongjun Fu
M. Martorella
Jian Dong
Rui Qin
Xianpeng Meng
M. Xie
41
42
0
29 Sep 2020
How Neural Networks Extrapolate: From Feedforward to Graph Neural
  Networks
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu
Mozhi Zhang
Jingling Li
S. Du
Ken-ichi Kawarabayashi
Stefanie Jegelka
MLT
182
313
0
24 Sep 2020
Extending Answer Set Programs with Neural Networks
Extending Answer Set Programs with Neural Networks
Zhun Yang
ReLMNAILRM
116
0
0
22 Sep 2020
Span-based Semantic Parsing for Compositional Generalization
Span-based Semantic Parsing for Compositional Generalization
Jonathan Herzig
Jonathan Berant
ReLMLRM
78
102
0
13 Sep 2020
Understanding Boolean Function Learnability on Deep Neural Networks: PAC
  Learning Meets Neurosymbolic Models
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
Márcio Nicolau
Anderson R. Tavares
Zhiwei Zhang
Pedro H. C. Avelar
J. Flach
Luís C. Lamb
Moshe Y. Vardi
NAI
70
2
0
13 Sep 2020
Planning with Learned Object Importance in Large Problem Instances using
  Graph Neural Networks
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
Tom Silver
Rohan Chitnis
Aidan Curtis
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
GNN
93
80
0
11 Sep 2020
Compositional Generalization via Neural-Symbolic Stack Machines
Compositional Generalization via Neural-Symbolic Stack Machines
Xinyun Chen
Chen Liang
Adams Wei Yu
Basel Alomair
Denny Zhou
BDL
76
101
0
15 Aug 2020
Robot Action Selection Learning via Layered Dimension Informed Program
  Synthesis
Robot Action Selection Learning via Layered Dimension Informed Program Synthesis
Jarrett Holtz
Arjun Guha
Joydeep Biswas
68
8
0
10 Aug 2020
Learning abstract structure for drawing by efficient motor program
  induction
Learning abstract structure for drawing by efficient motor program induction
Lucas Y. Tian
Kevin Ellis
Marta Kryven
J. Tenenbaum
79
37
0
08 Aug 2020
A Neural-Symbolic Framework for Mental Simulation
A Neural-Symbolic Framework for Mental Simulation
Michael D Kissner
24
0
0
05 Aug 2020
More Than Privacy: Applying Differential Privacy in Key Areas of
  Artificial Intelligence
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu
Dayong Ye
Wei Wang
Wanlei Zhou
Philip S. Yu
SyDa
76
130
0
05 Aug 2020
Word meaning in minds and machines
Word meaning in minds and machines
Brenden M. Lake
G. Murphy
NAI
112
118
0
04 Aug 2020
The Computational Limits of Deep Learning
The Computational Limits of Deep Learning
Neil C. Thompson
Kristjan Greenewald
Keeheon Lee
Gabriel F. Manso
VLM
91
531
0
10 Jul 2020
Multi-Granularity Modularized Network for Abstract Visual Reasoning
Multi-Granularity Modularized Network for Abstract Visual Reasoning
Xiangru Tang
Haoyuan Wang
Xiang Pan
Jiyang Qi
24
1
0
09 Jul 2020
The Scattering Compositional Learner: Discovering Objects, Attributes,
  Relationships in Analogical Reasoning
The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning
Yuhuai Wu
Honghua Dong
Roger C. Grosse
Jimmy Ba
CoGe
71
68
0
08 Jul 2020
A Competence-aware Curriculum for Visual Concepts Learning via Question
  Answering
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
Qing Li
Siyuan Huang
Yining Hong
Song-Chun Zhu
119
29
0
03 Jul 2020
Latent Compositional Representations Improve Systematic Generalization
  in Grounded Question Answering
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
Ben Bogin
Sanjay Subramanian
Matt Gardner
Jonathan Berant
ReLMOODBDLLRM
55
28
0
01 Jul 2020
Empirically Verifying Hypotheses Using Reinforcement Learning
Empirically Verifying Hypotheses Using Reinforcement Learning
Kenneth Marino
Rob Fergus
Arthur Szlam
Abhinav Gupta
OffRL
35
1
0
29 Jun 2020
Learning Task-General Representations with Generative Neuro-Symbolic
  Modeling
Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Reuben Feinman
Brenden M. Lake
GAN
61
19
0
25 Jun 2020
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Saeed Amizadeh
Hamid Palangi
Oleksandr Polozov
Yichen Huang
K. Koishida
NAILRM
119
60
0
20 Jun 2020
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Duo Wang
M. Jamnik
Pietro Lio
58
66
0
19 Jun 2020
Capturing Label Characteristics in VAEs
Capturing Label Characteristics in VAEs
Thomas Joy
Sebastian M. Schmon
Philip Torr
N. Siddharth
Tom Rainforth
CMLDRL
95
47
0
17 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
109
48
0
17 Jun 2020
Dynamic Tensor Rematerialization
Dynamic Tensor Rematerialization
Marisa Kirisame
Steven Lyubomirsky
Altan Haan
Jennifer Brennan
Mike He
Jared Roesch
Tianqi Chen
Zachary Tatlock
92
94
0
17 Jun 2020
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