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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
ArXivPDFHTML

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

45 / 145 papers shown
Title
gComm: An environment for investigating generalization in Grounded
  Language Acquisition
gComm: An environment for investigating generalization in Grounded Language Acquisition
Rishi Hazra
Sonu Dixit
31
0
0
09 May 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep
  learning representations with expert knowledge graphs: the MonuMAI cultural
  heritage use case
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
Natalia Díaz Rodríguez
Alberto Lamas
Jules Sanchez
Gianni Franchi
Ivan Donadello
Siham Tabik
David Filliat
P. Cruz
Rosana Montes
Francisco Herrera
49
77
0
24 Apr 2021
VGNMN: Video-grounded Neural Module Network to Video-Grounded Language
  Tasks
VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks
Hung Le
Nancy F. Chen
Guosheng Lin
MLLM
28
19
0
16 Apr 2021
Human-in-the-Loop Deep Reinforcement Learning with Application to
  Autonomous Driving
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving
Jingda Wu
Zhiyu Huang
Chao Huang
Zhongxu Hu
Peng Hang
Yang Xing
Chen Lv
39
40
0
15 Apr 2021
Grounding Physical Concepts of Objects and Events Through Dynamic Visual
  Reasoning
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
Zhenfang Chen
Jiayuan Mao
Jiajun Wu
Kwan-Yee K. Wong
J. Tenenbaum
Chuang Gan
VGen
36
92
0
30 Mar 2021
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and
  Execution
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Chi Zhang
Baoxiong Jia
Song-Chun Zhu
Yixin Zhu
28
71
0
26 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
39
297
0
03 Mar 2021
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
46
10
0
28 Feb 2021
Language-Mediated, Object-Centric Representation Learning
Language-Mediated, Object-Centric Representation Learning
Ruocheng Wang
Jiayuan Mao
S. Gershman
Jiajun Wu
16
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
67
65
0
29 Dec 2020
Neurosymbolic AI: The 3rd Wave
Neurosymbolic AI: The 3rd Wave
Artur Garcez
Luís C. Lamb
NAI
65
293
0
10 Dec 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
14
107
0
25 Nov 2020
Modeling Content and Context with Deep Relational Learning
Modeling Content and Context with Deep Relational Learning
Maria Leonor Pacheco
Dan Goldwasser
NAI
43
34
0
20 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
VLM
LRM
23
75
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
25
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
26
39
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
25
306
0
24 Sep 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
38
125
0
05 Aug 2020
Word meaning in minds and machines
Word meaning in minds and machines
Brenden M. Lake
G. Murphy
NAI
15
117
0
04 Aug 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
24
67
0
08 Jul 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
NAI
LRM
39
58
0
20 Jun 2020
Capturing Label Characteristics in VAEs
Capturing Label Characteristics in VAEs
Thomas Joy
Sebastian M. Schmon
Philip Torr
N. Siddharth
Tom Rainforth
CML
DRL
30
43
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
25
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
29
93
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
CoGe
NAI
30
12
0
16 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
NAI
AI4CE
31
28
0
12 Jun 2020
From Probability to Consilience: How Explanatory Values Implement
  Bayesian Reasoning
From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning
Zachary Wojtowicz
Simon DeDeo
FAtt
13
29
0
03 Jun 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
23
0
0
25 Apr 2020
Will we ever have Conscious Machines?
Will we ever have Conscious Machines?
P. Krauss
Andreas Maier
38
30
0
31 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
19
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 Comprehension
Zhenfang Chen
Peng Wang
Lin Ma
Kwan-Yee K. Wong
Qi Wu
ObjD
31
67
0
01 Mar 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
32
355
0
14 Feb 2020
Measuring Compositional Generalization: A Comprehensive Method on
  Realistic Data
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers
Nathanael Scharli
Nathan Scales
Hylke Buisman
Daniel Furrer
...
Tibor Tihon
Dmitry Tsarkov
Tianlin Li
Marc van Zee
Olivier Bousquet
CoGe
21
348
0
20 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
32
40
0
11 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 World
Georgiy Platonov
Benjamin Kane
A. Gindi
Lenhart K. Schubert
13
15
0
06 Nov 2019
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
Kexin Yi
Yuta Saito
Yunzhu Li
Pushmeet Kohli
Jiajun Wu
Antonio Torralba
J. Tenenbaum
NAI
43
457
0
03 Oct 2019
Embodied Language Grounding with 3D Visual Feature Representations
Embodied Language Grounding with 3D Visual Feature Representations
Mihir Prabhudesai
H. Tung
Syed Ashar Javed
Maximilian Sieb
Adam W. Harley
Katerina Fragkiadaki
14
21
0
02 Oct 2019
Fusion of Detected Objects in Text for Visual Question Answering
Fusion of Detected Objects in Text for Visual Question Answering
Chris Alberti
Jeffrey Ling
Michael Collins
David Reitter
17
173
0
14 Aug 2019
An Empirical Study on Leveraging Scene Graphs for Visual Question
  Answering
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering
Cheng Zhang
Wei-Lun Chao
D. Xuan
23
50
0
28 Jul 2019
Trends in Integration of Vision and Language Research: A Survey of
  Tasks, Datasets, and Methods
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
Aditya Mogadala
M. Kalimuthu
Dietrich Klakow
VLM
25
132
0
22 Jul 2019
Neural Probabilistic Logic Programming in DeepProbLog
Neural Probabilistic Logic Programming in DeepProbLog
Robin Manhaeve
Sebastijan Dumancic
Angelika Kimmig
T. Demeester
Luc de Raedt
NAI
35
542
0
18 Jul 2019
Relational Reasoning using Prior Knowledge for Visual Captioning
Relational Reasoning using Prior Knowledge for Visual Captioning
Jingyi Hou
Xinxiao Wu
Yayun Qi
Wentian Zhao
Jiebo Luo
Yunde Jia
17
14
0
04 Jun 2019
Improving Question Answering over Incomplete KBs with Knowledge-Aware
  Reader
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader
Wenhan Xiong
Mo Yu
Shiyu Chang
Xiaoxiao Guo
William Yang Wang
RALM
28
114
0
17 May 2019
Language-Conditioned Graph Networks for Relational Reasoning
Language-Conditioned Graph Networks for Relational Reasoning
Ronghang Hu
Anna Rohrbach
Trevor Darrell
Kate Saenko
31
171
0
10 May 2019
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
Haoyu Wang
Ming Tan
Mo Yu
Shiyu Chang
Dakuo Wang
Kun Xu
Xiaoxiao Guo
Saloni Potdar
ViT
29
97
0
04 Feb 2019
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