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Discovering objects and their relations from entangled scene
  representations

Discovering objects and their relations from entangled scene representations

16 February 2017
David Raposo
Adam Santoro
David Barrett
Razvan Pascanu
Timothy Lillicrap
Peter W. Battaglia
    GNNOCL
ArXiv (abs)PDFHTML

Papers citing "Discovering objects and their relations from entangled scene representations"

35 / 35 papers shown
Title
A Relational Intervention Approach for Unsupervised Dynamics
  Generalization in Model-Based Reinforcement Learning
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning
Jinpei Guo
Biwei Huang
Dacheng Tao
66
20
0
09 Jun 2022
Compositional Multi-Object Reinforcement Learning with Linear Relation
  Networks
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
Francesco Locatello
OCL
93
17
0
31 Jan 2022
Learning to Compose Visual Relations
Learning to Compose Visual Relations
Nan Liu
Shuang Li
Yilun Du
J. Tenenbaum
Antonio Torralba
CoGeOCL
91
80
0
17 Nov 2021
Scaling Graph-based Deep Learning models to larger networks
Scaling Graph-based Deep Learning models to larger networks
Miquel Ferriol Galmés
José Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNNAI4CE
74
8
0
04 Oct 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Anirudh Goyal
Aniket Didolkar
Nan Rosemary Ke
Charles Blundell
Philippe Beaudoin
N. Heess
Michael C. Mozer
Yoshua Bengio
OCL
131
86
0
02 Mar 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
172
127
0
16 Dec 2020
Attention over learned object embeddings enables complex visual
  reasoning
Attention over learned object embeddings enables complex visual reasoning
David Ding
Felix Hill
Adam Santoro
Malcolm Reynolds
M. Botvinick
OCL
114
71
0
15 Dec 2020
Generalizable Machine Learning in Neuroscience using Graph Neural
  Networks
Generalizable Machine Learning in Neuroscience using Graph Neural Networks
Paul Yung-Pou Wang
Sandalika Sapra
V. George
Gabriel A. Silva
GNNAI4CE
39
14
0
16 Oct 2020
Learning Physical Constraints with Neural Projections
Learning Physical Constraints with Neural Projections
Shuqi Yang
Xingzhe He
Bo Zhu
3DVAI4CE
110
26
0
23 Jun 2020
MetaFun: Meta-Learning with Iterative Functional Updates
MetaFun: Meta-Learning with Iterative Functional Updates
Jin Xu
Jean-François Ton
Hyunjik Kim
Adam R. Kosiorek
Yee Whye Teh
78
68
0
05 Dec 2019
Graph Neural Based End-to-end Data Association Framework for Online
  Multiple-Object Tracking
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
Xiaolong Jiang
Peizhao Li
Yanjing Li
Xiantong Zhen
VOT
77
33
0
11 Jul 2019
The Limited Multi-Label Projection Layer
The Limited Multi-Label Projection Layer
Brandon Amos
V. Koltun
J. Zico Kolter
95
36
0
20 Jun 2019
Neural Consciousness Flow
Neural Consciousness Flow
Xiaoran Xu
Wei Feng
Zhiqing Sun
Zhihong Deng
GNNAI4CE
77
2
0
30 May 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste
Francesco Locatello
Jürgen Schmidhuber
Olivier Bachem
106
210
0
29 May 2019
Graph Representations for Higher-Order Logic and Theorem Proving
Graph Representations for Higher-Order Logic and Theorem Proving
Aditya Sanjay Paliwal
Sarah M. Loos
M. Rabe
Kshitij Bansal
Christian Szegedy
AI4CENoLa
204
98
0
24 May 2019
Relational Reasoning Network (RRN) for Anatomical Landmarking
Relational Reasoning Network (RRN) for Anatomical Landmarking
N. Torosdagli
Syed Muhammad Anwar
P. Verma
D. Liberton
Janice S. Lee
Wade W. Han
Ulas Bagci
51
3
0
08 Apr 2019
Autoregressive Models for Sequences of Graphs
Autoregressive Models for Sequences of Graphs
Daniele Zambon
Daniele Grattarola
L. Livi
Cesare Alippi
52
8
0
18 Mar 2019
Differentiable Scene Graphs
Differentiable Scene Graphs
Moshiko Raboh
Roei Herzig
Gal Chechik
Jonathan Berant
Amir Globerson
OCL
99
34
0
26 Feb 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Andrew N. Carr
David Wingate
BDL
67
12
0
26 Feb 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.2K
5,605
0
20 Dec 2018
Discovering physical concepts with neural networks
Discovering physical concepts with neural networks
Raban Iten
Tony Metger
H. Wilming
L. D. Rio
R. Renner
PINNAI4CE
131
391
0
26 Jul 2018
Unsupervised Learning of Latent Physical Properties Using
  Perception-Prediction Networks
Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks
David Zheng
V. Luo
Jiajun Wu
J. Tenenbaum
SSLDRLAI4CE
74
53
0
24 Jul 2018
Measuring abstract reasoning in neural networks
Measuring abstract reasoning in neural networks
David Barrett
Felix Hill
Adam Santoro
Ari S. Morcos
Timothy Lillicrap
OOD
88
363
0
11 Jul 2018
Relational recurrent neural networks
Relational recurrent neural networks
Adam Santoro
Ryan Faulkner
David Raposo
Jack W. Rae
Mike Chrzanowski
T. Weber
Daan Wierstra
Oriol Vinyals
Razvan Pascanu
Timothy Lillicrap
GNN
172
211
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
888
3,132
0
04 Jun 2018
Graph networks as learnable physics engines for inference and control
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
J. Merel
Martin Riedmiller
R. Hadsell
Peter W. Battaglia
GNNAI4CEPINNOCL
270
603
0
04 Jun 2018
Mapping Images to Scene Graphs with Permutation-Invariant Structured
  Prediction
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig
Moshiko Raboh
Gal Chechik
Jonathan Berant
Amir Globerson
GNNOCL
101
135
0
15 Feb 2018
Relation Networks for Object Detection
Relation Networks for Object Detection
Han Hu
Jiayuan Gu
Zheng Zhang
Jifeng Dai
Yichen Wei
ObjD
150
1,230
0
30 Nov 2017
Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Jason Jo
Yoshua Bengio
AAML
89
250
0
30 Nov 2017
Anatomical labeling of brain CT scan anomalies using multi-context
  nearest neighbor relation networks
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks
Srikrishna Varadarajan
Muktabh Mayank Srivastava
Monika Grewal
Pulkit Kumar
22
0
0
25 Oct 2017
Can Deep Neural Networks Match the Related Objects?: A Survey on
  ImageNet-trained Classification Models
Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models
Han S. Lee
Heechul Jung
Alex A. Agarwal
Junmo Kim
90
6
0
12 Sep 2017
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Samuel Ritter
David Barrett
Adam Santoro
M. Botvinick
97
196
0
26 Jun 2017
Pixels to Graphs by Associative Embedding
Pixels to Graphs by Associative Embedding
Alejandro Newell
Jia Deng
GNNVOS
101
232
0
22 Jun 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNNNAI
191
1,617
0
05 Jun 2017
ShapeWorld - A new test methodology for multimodal language
  understanding
ShapeWorld - A new test methodology for multimodal language understanding
A. Kuhnle
Ann A. Copestake
65
69
0
14 Apr 2017
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