ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.12584
  4. Cited By
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"

25 / 425 papers shown
Title
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
CLEVRER: CoLlision Events for Video REpresentation and ReasoningInternational Conference on Learning Representations (ICLR), 2019
Kexin Yi
Yuta Saito
Yunzhu Li
Pushmeet Kohli
Jiajun Wu
Antonio Torralba
J. Tenenbaum
NAI
335
480
0
03 Oct 2019
Embodied Language Grounding with 3D Visual Feature Representations
Embodied Language Grounding with 3D Visual Feature RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019
Mihir Prabhudesai
H. Tung
Syed Ashar Javed
Maximilian Sieb
Adam W. Harley
Katerina Fragkiadaki
208
26
0
02 Oct 2019
Environmental drivers of systematicity and generalization in a situated
  agent
Environmental drivers of systematicity and generalization in a situated agentInternational Conference on Learning Representations (ICLR), 2019
Felix Hill
Andrew Kyle Lampinen
R. Schneider
S. Clark
M. Botvinick
James L. McClelland
Adam Santoro
OOD
334
109
0
01 Oct 2019
On Incorporating Semantic Prior Knowledge in Deep Learning Through
  Embedding-Space Constraints
On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
NAI
202
9
0
30 Sep 2019
CoPhy: Counterfactual Learning of Physical Dynamics
CoPhy: Counterfactual Learning of Physical DynamicsInternational Conference on Learning Representations (ICLR), 2019
Fabien Baradel
Natalia Neverova
J. Mille
Greg Mori
Christian Wolf
CMLAI4CE
326
100
0
26 Sep 2019
An Automated Engineering Assistant: Learning Parsers for Technical
  Drawings
An Automated Engineering Assistant: Learning Parsers for Technical DrawingsAAAI Conference on Artificial Intelligence (AAAI), 2019
Dries Van Daele
Nicholas Decleyre
Herman Dubois
Wannes Meert
67
17
0
18 Sep 2019
PHYRE: A New Benchmark for Physical Reasoning
PHYRE: A New Benchmark for Physical ReasoningNeural Information Processing Systems (NeurIPS), 2019
A. Bakhtin
Laurens van der Maaten
Justin Johnson
Laura Gustafson
Ross B. Girshick
LRM
160
147
0
15 Aug 2019
Fusion of Detected Objects in Text for Visual Question Answering
Fusion of Detected Objects in Text for Visual Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Chris Alberti
Jeffrey Ling
Michael Collins
David Reitter
220
181
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 AnsweringBritish Machine Vision Conference (BMVC), 2019
Cheng Zhang
Wei-Lun Chao
D. Xuan
150
56
0
28 Jul 2019
Modeling question asking using neural program generation
Modeling question asking using neural program generationAnnual Meeting of the Cognitive Science Society (CogSci), 2019
ZiYun Wang
Brenden M. Lake
175
9
0
23 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 MethodsJournal of Artificial Intelligence Research (JAIR), 2019
Aditya Mogadala
M. Kalimuthu
Dietrich Klakow
VLM
376
141
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
366
649
0
18 Jul 2019
Learning by Abstraction: The Neural State Machine
Learning by Abstraction: The Neural State MachineNeural Information Processing Systems (NeurIPS), 2019
Drew A. Hudson
Christopher D. Manning
NAIOCL
415
277
0
09 Jul 2019
Visually Grounded Neural Syntax Acquisition
Visually Grounded Neural Syntax AcquisitionAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Freda Shi
Jiayuan Mao
Kevin Gimpel
Karen Livescu
NAI
198
85
0
07 Jun 2019
Towards conceptual generalization in the embedding space
Towards conceptual generalization in the embedding space
Luka Nenadović
Vladimir Prelovac
81
0
0
05 Jun 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
188
13
0
04 Jun 2019
What Can Neural Networks Reason About?
What Can Neural Networks Reason About?International Conference on Learning Representations (ICLR), 2019
Keyulu Xu
Jingling Li
Mozhi Zhang
S. Du
Ken-ichi Kawarabayashi
Stefanie Jegelka
NAIAI4CE
282
268
0
30 May 2019
Learning Dynamics of Attention: Human Prior for Interpretable Machine
  Reasoning
Learning Dynamics of Attention: Human Prior for Interpretable Machine ReasoningNeural Information Processing Systems (NeurIPS), 2019
Wonjae Kim
Yoonho Lee
191
6
0
28 May 2019
Improving Question Answering over Incomplete KBs with Knowledge-Aware
  Reader
Improving Question Answering over Incomplete KBs with Knowledge-Aware ReaderAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Wenhan Xiong
Mo Yu
Shiyu Chang
Xiaoxiao Guo
William Yang Wang
RALM
123
121
0
17 May 2019
Neural-Symbolic Computing: An Effective Methodology for Principled
  Integration of Machine Learning and Reasoning
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Artur Garcez
Marco Gori
Luís C. Lamb
Luciano Serafini
Michael Spranger
Son N. Tran
NAI
209
336
0
15 May 2019
Language-Conditioned Graph Networks for Relational Reasoning
Language-Conditioned Graph Networks for Relational ReasoningIEEE International Conference on Computer Vision (ICCV), 2019
Ronghang Hu
Anna Rohrbach
Trevor Darrell
Kate Saenko
182
182
0
10 May 2019
Probabilistic Neural-symbolic Models for Interpretable Visual Question
  Answering
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering
Ramakrishna Vedantam
Karan Desai
Stefan Lee
Marcus Rohrbach
Dhruv Batra
Devi Parikh
NAIBDL
237
88
0
21 Feb 2019
Can We Automate Diagrammatic Reasoning?
Can We Automate Diagrammatic Reasoning?Pattern Recognition (Pattern Recognit.), 2019
Sk. Arif Ahmed
D. P. Dogra
S. Kar
P. Roy
D. Prasad
140
4
0
13 Feb 2019
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and
  Classification
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and ClassificationInternational Journal of Intelligent Systems (IJIS), 2019
Blaž Škrlj
Jan Kralj
Janez Konc
Marko Robnik-Šikonja
Nada Lavrac
GNNBDL
262
5
0
11 Feb 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
183
102
0
04 Feb 2019
Previous
123456789