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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 / 425 papers shown
Title
Extending Answer Set Programs with Neural Networks
Extending Answer Set Programs with Neural Networks
Zhun Yang
ReLMNAILRM
171
0
0
22 Sep 2020
Span-based Semantic Parsing for Compositional Generalization
Span-based Semantic Parsing for Compositional GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Jonathan Herzig
Jonathan Berant
ReLMLRM
222
103
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
251
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 NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020
Tom Silver
Rohan Chitnis
Aidan Curtis
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
GNN
165
91
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
225
105
0
15 Aug 2020
Robot Action Selection Learning via Layered Dimension Informed Program
  Synthesis
Robot Action Selection Learning via Layered Dimension Informed Program SynthesisConference on Robot Learning (CoRL), 2020
Jarrett Holtz
Arjun Guha
Joydeep Biswas
174
9
0
10 Aug 2020
Learning abstract structure for drawing by efficient motor program
  induction
Learning abstract structure for drawing by efficient motor program inductionNeural Information Processing Systems (NeurIPS), 2020
Lucas Y. Tian
Kevin Ellis
Marta Kryven
J. Tenenbaum
202
39
0
08 Aug 2020
A Neural-Symbolic Framework for Mental Simulation
A Neural-Symbolic Framework for Mental Simulation
Michael D Kissner
98
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
149
157
0
05 Aug 2020
Word meaning in minds and machines
Word meaning in minds and machines
Brenden M. Lake
G. Murphy
NAI
267
138
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
269
622
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
133
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
154
73
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
299
33
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
208
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
87
2
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
132
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
284
68
0
20 Jun 2020
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Duo Wang
M. Jamnik
Pietro Lio
138
71
0
19 Jun 2020
Capturing Label Characteristics in VAEs
Capturing Label Characteristics in VAEs
Thomas Joy
Sebastian M. Schmon
Juil Sock
N. Siddharth
Tom Rainforth
CMLDRL
329
51
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
235
51
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
309
108
0
17 Jun 2020
A Study of Compositional Generalization in Neural Models
A Study of Compositional Generalization in Neural Models
Tim Klinger
D. Adjodah
Vincent Marois
Joshua Joseph
Matthew D Riemer
Alex Pentland
Murray Campbell
CoGeNAI
390
13
0
16 Jun 2020
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional
  Manifolds
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds
Duo Wang
M. Jamnik
Pietro Lio
OOD
140
1
0
15 Jun 2020
Systematic Generalisation through Task Temporal Logic and Deep
  Reinforcement Learning
Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning
Borja G. Leon
Murray Shanahan
Francesco Belardinelli
NAIAI4CE
229
32
0
12 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 ReasoningInternational Conference on Machine Learning (ICML), 2020
Qing Li
Siyuan Huang
Yining Hong
Yixin Chen
Ying Nian Wu
Song-Chun Zhu
NAI
264
88
0
11 Jun 2020
From Probability to Consilience: How Explanatory Values Implement
  Bayesian Reasoning
From Probability to Consilience: How Explanatory Values Implement Bayesian ReasoningTrends in Cognitive Sciences (Trends Cogn Sci), 2020
Zachary Wojtowicz
Simon DeDeo
FAtt
207
32
0
03 Jun 2020
History-Aware Question Answering in a Blocks World Dialogue System
History-Aware Question Answering in a Blocks World Dialogue System
Benjamin Kane
Georgiy Platonov
Lenhart K. Schubert
KELM
99
3
0
26 May 2020
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby
  Steps
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps
Peng Guo
Hexiang Hu
Jiacheng Chen
Zhiwei Deng
Vihan Jain
Eugene Ie
Fei Sha
LM&Ro
198
77
0
10 May 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 BasesInternational Conference on Artificial Neural Networks (ICANN), 2020
Henrique Lemos
Pedro H. C. Avelar
Marcelo O. R. Prates
Luís C. Lamb
Artur Garcez
NAI
83
3
0
05 May 2020
ESPRIT: Explaining Solutions to Physical Reasoning Tasks
ESPRIT: Explaining Solutions to Physical Reasoning TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Nazneen Rajani
Rui Zhang
Y. Tan
Stephan Zheng
Jeremy C. Weiss
Aadit Vyas
Abhijit Gupta
Caiming Xiong
R. Socher
Dragomir R. Radev
ReLMLRM
196
22
0
02 May 2020
Obtaining Faithful Interpretations from Compositional Neural Networks
Obtaining Faithful Interpretations from Compositional Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Sanjay Subramanian
Ben Bogin
Nitish Gupta
Tomer Wolfson
Sameer Singh
Jonathan Berant
Matt Gardner
210
43
0
02 May 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
105
0
0
25 Apr 2020
TuringAdvice: A Generative and Dynamic Evaluation of Language Use
TuringAdvice: A Generative and Dynamic Evaluation of Language Use
Rowan Zellers
Ari Holtzman
Elizabeth Clark
Lianhui Qin
Ali Farhadi
Yejin Choi
ELMLRM
202
13
0
07 Apr 2020
SHOP-VRB: A Visual Reasoning Benchmark for Object Perception
SHOP-VRB: A Visual Reasoning Benchmark for Object PerceptionIEEE International Conference on Robotics and Automation (ICRA), 2020
Michal Nazarczuk
K. Mikolajczyk
143
24
0
06 Apr 2020
Will we ever have Conscious Machines?
Will we ever have Conscious Machines?Frontiers in Computational Neuroscience (FCN), 2020
P. Krauss
Andreas Maier
162
31
0
31 Mar 2020
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
From Statistical Relational to Neuro-Symbolic Artificial IntelligenceInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Luc de Raedt
Sebastijan Dumancic
Robin Manhaeve
Giuseppe Marra
NAI
189
124
0
18 Mar 2020
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge
  into Deep Neural Networks
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks
Karan Sikka
Andrew Silberfarb
John Byrnes
Indranil Sur
Edmond Chow
Ajay Divakaran
R. Rohwer
NAI
141
11
0
16 Mar 2020
Cops-Ref: A new Dataset and Task on Compositional Referring Expression
  Comprehension
Cops-Ref: A new Dataset and Task on Compositional Referring Expression ComprehensionComputer Vision and Pattern Recognition (CVPR), 2020
Zhenfang Chen
Peng Wang
Lin Ma
Kwan-Yee K. Wong
Qi Wu
ObjD
205
77
0
01 Mar 2020
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and
  Perspective
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and PerspectiveInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Luís C. Lamb
Artur S. dÁvila Garcez
Marco Gori
Marcelo O. R. Prates
Pedro H. C. Avelar
Moshe Y. Vardi
NAIAI4CE
313
92
0
29 Feb 2020
VQA-LOL: Visual Question Answering under the Lens of Logic
VQA-LOL: Visual Question Answering under the Lens of LogicEuropean Conference on Computer Vision (ECCV), 2020
Tejas Gokhale
Pratyay Banerjee
Chitta Baral
Yezhou Yang
CoGe
184
78
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
217
425
0
14 Feb 2020
Visual Concept-Metaconcept Learning
Visual Concept-Metaconcept LearningNeural Information Processing Systems (NeurIPS), 2020
Chi Han
Jiayuan Mao
Chuang Gan
J. Tenenbaum
Jiajun Wu
NAILRM
144
70
0
04 Feb 2020
Measuring Compositional Generalization: A Comprehensive Method on
  Realistic Data
Measuring Compositional Generalization: A Comprehensive Method on Realistic DataInternational Conference on Learning Representations (ICLR), 2019
Daniel Keysers
Nathanael Scharli
Nathan Scales
Hylke Buisman
Daniel Furrer
...
Tibor Tihon
Dmitry Tsarkov
Tianlin Li
Marc van Zee
Olivier Bousquet
CoGe
172
380
0
20 Dec 2019
From Shallow to Deep Interactions Between Knowledge Representation,
  Reasoning and Machine Learning (Kay R. Amel group)
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
Zied Bouraoui
Antoine Cornuéjols
Thierry Denoeux
Sebastien Destercke
Didier Dubois
...
Jérôme Mengin
H. Prade
Steven Schockaert
M. Serrurier
Christel Vrain
227
14
0
13 Dec 2019
Neural Module Networks for Reasoning over Text
Neural Module Networks for Reasoning over TextInternational Conference on Learning Representations (ICLR), 2019
Nitish Gupta
Kevin Lin
Dan Roth
Sameer Singh
Matt Gardner
NAIReLMLRM
190
133
0
10 Dec 2019
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust
  between Human and Machine
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine
Weisi Guo
176
42
0
11 Nov 2019
Multimodal Intelligence: Representation Learning, Information Fusion,
  and Applications
Multimodal Intelligence: Representation Learning, Information Fusion, and ApplicationsIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2019
Chao Zhang
Zichao Yang
Xiaodong He
Li Deng
HAIAI4TS
243
396
0
10 Nov 2019
A Spoken Dialogue System for Spatial Question Answering in a Physical
  Blocks World
A Spoken Dialogue System for Spatial Question Answering in a Physical Blocks WorldSIGDIAL Conferences (SIGDIAL), 2019
Georgiy Platonov
Benjamin Kane
A. Gindi
Lenhart K. Schubert
182
15
0
06 Nov 2019
Meta Module Network for Compositional Visual Reasoning
Meta Module Network for Compositional Visual ReasoningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Wenhu Chen
Zhe Gan
Linjie Li
Yu Cheng
Wenjie Wang
Jingjing Liu
LRM
269
75
0
08 Oct 2019
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