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On the Binding Problem in Artificial Neural Networks

On the Binding Problem in Artificial Neural Networks

9 December 2020
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
    OCL
ArXiv (abs)PDFHTML

Papers citing "On the Binding Problem in Artificial Neural Networks"

50 / 162 papers shown
Title
Object-Centric Representations Improve Policy Generalization in Robot Manipulation
Object-Centric Representations Improve Policy Generalization in Robot Manipulation
Alexandre Chapin
Bruno Machado
Emmanuel Dellandrea
Liming Chen
OCL
127
0
0
16 May 2025
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
Aniket Didolkar
Andrii Zadaianchuk
Rabiul Awal
Maximilian Seitzer
E. Gavves
Aishwarya Agrawal
OCLVLM
164
3
0
27 Mar 2025
Object-Centric Image to Video Generation with Language Guidance
Object-Centric Image to Video Generation with Language Guidance
Angel Villar-Corrales
Gjergj Plepi
Sven Behnke
DiffMVGenOCL
235
1
0
17 Feb 2025
Dynamic Scene Understanding through Object-Centric Voxelization and Neural Rendering
Dynamic Scene Understanding through Object-Centric Voxelization and Neural Rendering
Yanpeng Zhao
Yiwei Hao
Siyu Gao
Yunbo Wang
Xiaokang Yang
OCL
231
1
0
17 Feb 2025
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
Angel Villar-Corrales
Sven Behnke
198
4
0
11 Feb 2025
Slot-BERT: Self-supervised Object Discovery in Surgical Video
Slot-BERT: Self-supervised Object Discovery in Surgical Video
Guiqiu Liao
M. Jogan
Marcel Hussing
Kenta Nakahashi
Kazuhiro Yasufuku
Amin Madani
Eric Eaton
Daniel A. Hashimoto
419
0
0
21 Jan 2025
Object-centric proto-symbolic behavioural reasoning from pixels
Object-centric proto-symbolic behavioural reasoning from pixels
R. S. V. Bergen
Justus F. Hübotter
Pablo Lanillos
LM&RoOCL
161
1
0
26 Nov 2024
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
Declan Campbell
Sunayana Rane
Tyler Giallanza
Nicolò De Sabbata
Kia Ghods
...
Alexander Ku
Steven M. Frankland
Thomas Griffiths
Jonathan D. Cohen
Taylor W. Webb
93
16
0
31 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World Modelling
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
504
1
0
28 Oct 2024
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Bhishma Dedhia
N. Jha
OCL
104
1
0
02 Feb 2024
StructRe: Rewriting for Structured Shape Modeling
StructRe: Rewriting for Structured Shape Modeling
Jiepeng Wang
Hao Pan
Yang Liu
Xin Tong
Taku Komura
Wenping Wang
78
1
0
29 Nov 2023
Associative Transformer
Associative Transformer
Yuwei Sun
H. Ochiai
Zhirong Wu
Stephen Lin
Ryota Kanai
ViT
94
0
0
22 Sep 2023
Learning Object-Centric Representations of Multi-Object Scenes from
  Multiple Views
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
Nanbo Li
Cian Eastwood
Robert B. Fisher
OCL
88
54
0
13 Nov 2021
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Anand Gopalakrishnan
Sjoerd van Steenkiste
Jürgen Schmidhuber
SSL
52
21
0
25 Nov 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature
  Fields
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
Michael Niemeyer
Andreas Geiger
OCL
154
962
0
24 Nov 2020
Generative Neurosymbolic Machines
Generative Neurosymbolic Machines
Jindong Jiang
Sungjin Ahn
BDLOCL
285
69
0
23 Oct 2020
Hierarchical Relational Inference
Hierarchical Relational Inference
Aleksandar Stanić
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
53
15
0
07 Oct 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through
  Differentiable Weight Masks
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
Róbert Csordás
Sjoerd van Steenkiste
Jürgen Schmidhuber
91
95
0
05 Oct 2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using
  Structured Latent Spaces
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
Sébastien Ehrhardt
Oliver Groth
Áron Monszpart
Martin Engelcke
Ingmar Posner
Niloy Mitra
Andrea Vedaldi
3DPC
60
54
0
02 Jul 2020
Object-Centric Learning with Slot Attention
Object-Centric Learning with Slot Attention
Francesco Locatello
Dirk Weissenborn
Thomas Unterthiner
Aravindh Mahendran
G. Heigold
Jakob Uszkoreit
Alexey Dosovitskiy
Thomas Kipf
OCL
222
849
0
26 Jun 2020
Learning Physical Graph Representations from Visual Scenes
Learning Physical Graph Representations from Visual Scenes
Daniel M. Bear
Chaofei Fan
Damian Mrowca
Yunzhu Li
S. Alter
...
Jeremy Schwartz
Li Fei-Fei
Jiajun Wu
J. Tenenbaum
Daniel L. K. Yamins
SSLGNNSSegAI4CE
91
79
0
22 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
795
42,055
0
28 May 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
415
13,048
0
26 May 2020
Visual Grounding of Learned Physical Models
Visual Grounding of Learned Physical Models
Yunzhu Li
Toru Lin
Kexin Yi
Daniel M. Bear
Daniel L. K. Yamins
Jiajun Wu
J. Tenenbaum
Antonio Torralba
OODOCLAI4CEPINN
70
81
0
28 Apr 2020
Towards causal generative scene models via competition of experts
Towards causal generative scene models via competition of experts
Julius von Kügelgen
Ivan Ustyuzhaninov
Peter V. Gehler
Matthias Bethge
Bernhard Schölkopf
OCL3DV
49
51
0
27 Apr 2020
Learning to Manipulate Individual Objects in an Image
Learning to Manipulate Individual Objects in an Image
Yanchao Yang
Yutong Chen
Stefano Soatto
OCL
85
38
0
11 Apr 2020
Investigating Simple Object Representations in Model-Free Deep
  Reinforcement Learning
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning
Guy Davidson
Brenden M. Lake
OCLOffRL
31
10
0
16 Feb 2020
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial
  Attention and Decomposition
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Zhixuan Lin
Yi-Fu Wu
Skand Peri
Weihao Sun
Gautam Singh
Fei Deng
Jindong Jiang
Sungjin Ahn
BDLOCL3DPC
162
250
0
08 Jan 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
68
353
0
20 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNNVLMCLLAI4CELRM
169
1,824
0
13 Dec 2019
Towards Robust Image Classification Using Sequential Attention Models
Towards Robust Image Classification Using Sequential Attention Models
Daniel Zoran
Mike Chrzanowski
Po-Sen Huang
Sven Gowal
Alex Mott
Pushmeet Kohli
AAML
53
61
0
04 Dec 2019
Deep Learning for Symbolic Mathematics
Deep Learning for Symbolic Mathematics
Guillaume Lample
François Charton
3DGS
105
413
0
02 Dec 2019
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCLDRL
74
284
0
27 Nov 2019
Causality for Machine Learning
Causality for Machine Learning
Bernhard Schölkopf
CMLAI4CELRM
96
463
0
24 Nov 2019
Enhancing the Transformer with Explicit Relational Encoding for Math
  Problem Solving
Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
Imanol Schlag
P. Smolensky
Roland Fernandez
Nebojsa Jojic
Jürgen Schmidhuber
Jianfeng Gao
73
52
0
15 Oct 2019
SCALOR: Generative World Models with Scalable Object Representations
SCALOR: Generative World Models with Scalable Object Representations
Jindong Jiang
Sepehr Janghorbani
Gerard de Melo
Sungjin Ahn
OCLDRL
88
133
0
06 Oct 2019
Efficient Graph Generation with Graph Recurrent Attention Networks
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao
Yujia Li
Yang Song
Shenlong Wang
C. Nash
William L. Hamilton
David Duvenaud
R. Urtasun
R. Zemel
GNN
136
335
0
02 Oct 2019
Environmental drivers of systematicity and generalization in a situated
  agent
Environmental drivers of systematicity and generalization in a situated agent
Felix Hill
Andrew Kyle Lampinen
R. Schneider
S. Clark
M. Botvinick
James L. McClelland
Adam Santoro
OOD
88
107
0
01 Oct 2019
Recurrent Independent Mechanisms
Recurrent Independent Mechanisms
Anirudh Goyal
Alex Lamb
Jordan Hoffmann
Shagun Sodhani
Sergey Levine
Yoshua Bengio
Bernhard Schölkopf
89
337
0
24 Sep 2019
Compositionality decomposed: how do neural networks generalise?
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes
Verna Dankers
Mathijs Mul
Elia Bruni
CoGe
147
336
0
22 Aug 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric
  Latent Representations
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Martin Engelcke
Adam R. Kosiorek
Oiwi Parker Jones
Ingmar Posner
OCL
119
307
0
30 Jul 2019
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
Xiang Li
Tianhan Wei
Yau Pun Chen
Yu-Wing Tai
Chi-Keung Tang
VLM
78
248
0
29 Jul 2019
Information-Bottleneck Approach to Salient Region Discovery
Information-Bottleneck Approach to Salient Region Discovery
A. Zhmoginov
Ian S. Fischer
Mark Sandler
38
19
0
22 Jul 2019
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction
  with Relational Reasoning
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning
F. Fuchs
Adam R. Kosiorek
Li Sun
Oiwi Parker Jones
Ingmar Posner
VOT
89
12
0
12 Jul 2019
Unsupervised Learning of Object Keypoints for Perception and Control
Unsupervised Learning of Object Keypoints for Perception and Control
Tejas D. Kulkarni
Ankush Gupta
Catalin Ionescu
Sebastian Borgeaud
Malcolm Reynolds
Andrew Zisserman
Volodymyr Mnih
SSLOCL
53
196
0
19 Jun 2019
Unsupervised Learning of Object Structure and Dynamics from Videos
Unsupervised Learning of Object Structure and Dynamics from Videos
Matthias Minderer
Chen Sun
Ruben Villegas
Forrester Cole
Kevin Patrick Murphy
Honglak Lee
85
150
0
19 Jun 2019
Stacked Capsule Autoencoders
Stacked Capsule Autoencoders
Adam R. Kosiorek
S. Sabour
Yee Whye Teh
Geoffrey E. Hinton
OCL
48
262
0
17 Jun 2019
Convolutional Bipartite Attractor Networks
Convolutional Bipartite Attractor Networks
Michael L. Iuzzolino
Y. Singer
Michael C. Mozer
46
8
0
08 Jun 2019
Towards Interpretable Reinforcement Learning Using Attention Augmented
  Agents
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Alex Mott
Daniel Zoran
Mike Chrzanowski
Daan Wierstra
Danilo Jimenez Rezende
61
190
0
06 Jun 2019
A Perspective on Objects and Systematic Generalization in Model-Based RL
A Perspective on Objects and Systematic Generalization in Model-Based RL
Sjoerd van Steenkiste
Klaus Greff
Jürgen Schmidhuber
OCLOffRL
61
31
0
03 Jun 2019
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