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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 / 190 papers shown
Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis
Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis
Yilan Zhang
Li Nanbo
Changchun Yang
Jürgen Schmidhuber
Xin Gao
113
0
0
30 Nov 2025
Do traveling waves make good positional encodings?
Do traveling waves make good positional encodings?
Chase van de Geijn
Ayush Paliwal
Timo Lüddecke
Alexander S. Ecker
185
0
0
11 Nov 2025
When Object-Centric World Models Meet Policy Learning: From Pixels to Policies, and Where It Breaks
When Object-Centric World Models Meet Policy Learning: From Pixels to Policies, and Where It Breaks
Stefano Ferraro
Akihiro Nakano
Masahiro Suzuki
Yutaka Matsuo
OCLMU
475
0
0
08 Nov 2025
Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?
Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?
Yihao Li
Saeed Salehi
Lyle Ungar
Konrad Paul Kording
OCL
415
7
0
28 Oct 2025
Bridging Reasoning to Learning: Unmasking Illusions using Complexity Out of Distribution Generalization
Bridging Reasoning to Learning: Unmasking Illusions using Complexity Out of Distribution Generalization
Mohammad Mahdi Samiei Paqaleh
Arash Marioriyad
Arman Tahmasebi-Zadeh
Mohamadreza Fereydooni
Mahdi Ghaznavai
Mahdieh Soleymani Baghshah
161
0
0
06 Oct 2025
Visual serial processing deficits explain divergences in human and VLM reasoning
Visual serial processing deficits explain divergences in human and VLM reasoning
Nicholas Budny
Kia Ghods
Declan Campbell
Raja Marjieh
Amogh Joshi
Sreejan Kumar
Jonathan Cohen
Taylor W. Webb
Thomas Griffiths
CoGeLRM
235
2
0
29 Sep 2025
Mechanistic Independence: A Principle for Identifiable Disentangled Representations
Mechanistic Independence: A Principle for Identifiable Disentangled Representations
Stefan Matthes
Zhiwei Han
Hao Shen
CML
111
0
0
26 Sep 2025
Dynamical Alignment: A Principle for Adaptive Neural Computation
Dynamical Alignment: A Principle for Adaptive Neural Computation
Xia Chen
189
1
0
13 Aug 2025
Fast weight programming and linear transformers: from machine learning to neurobiology
Fast weight programming and linear transformers: from machine learning to neurobiology
Kazuki Irie
Samuel J. Gershman
244
3
0
11 Aug 2025
Compositional Video Synthesis by Temporal Object-Centric Learning
Compositional Video Synthesis by Temporal Object-Centric Learning
Adil Kaan Akan
Yucel Yemez
DiffMOCL
309
0
0
28 Jul 2025
Visual Structures Helps Visual Reasoning: Addressing the Binding Problem in VLMs
Visual Structures Helps Visual Reasoning: Addressing the Binding Problem in VLMs
Amirmohammad Izadi
Mohammad Ali Banayeeanzade
Fatemeh Askari
Ali Rahimiakbar
Mohammad Mahdi Vahedi
Hosein Hasani
M. Baghshah
LRM
319
4
0
27 Jun 2025
Neurosymbolic Object-Centric Learning with Distant Supervision
Neurosymbolic Object-Centric Learning with Distant Supervision
Stefano Colamonaco
David Debot
G. Marra
OCLNAI
321
0
0
19 Jun 2025
Visual symbolic mechanisms: Emergent symbol processing in vision language models
Visual symbolic mechanisms: Emergent symbol processing in vision language models
Rim Assouel
Declan Campbell
Taylor Webb
Taylor Webb
320
3
0
18 Jun 2025
Adding simple structure at inference improves Vision-Language Compositionality
Adding simple structure at inference improves Vision-Language Compositionality
Imanol Miranda
Ander Salaberria
Eneko Agirre
Gorka Azkune
CoGeVLM
326
1
0
11 Jun 2025
Identifiable Object Representations under Spatial Ambiguities
Identifiable Object Representations under Spatial Ambiguities
Avinash Kori
Francesca Toni
Ben Glocker
OCL
277
0
0
09 Jun 2025
Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey
Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated SurveyAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Ivan Vegner
Sydelle de Souza
Valentin Forch
Martha Lewis
Leonidas A.A. Doumas
396
3
0
04 Jun 2025
Bound by semanticity: universal laws governing the generalization-identification tradeoff
Bound by semanticity: universal laws governing the generalization-identification tradeoff
Marco Nurisso
Jesseba Fernando
Raj Deshpande
Alan Perotti
Raja Marjieh
...
Taylor W. Webb
Declan Campbell
F. Vaccarino
Jonathan Cohen
G. Petri
145
1
0
01 Jun 2025
Compositional Scene Understanding through Inverse Generative Modeling
Compositional Scene Understanding through Inverse Generative Modeling
Yanbo Wang
Justin Dauwels
Yilun Du
OCL
703
2
0
27 May 2025
Characterizing Pattern Matching and Its Limits on Compositional Task Structures
Characterizing Pattern Matching and Its Limits on Compositional Task Structures
Hoyeon Chang
Jinho Park
Hanseul Cho
Sohee Yang
Miyoung Ko
Hyeonbin Hwang
Seungpil Won
Dohaeng Lee
Youbin Ahn
Minjoon Seo
308
1
0
26 May 2025
Mechanistic evaluation of Transformers and state space models
Mechanistic evaluation of Transformers and state space models
Aryaman Arora
Neil Rathi
Nikil Roashan Selvam
Róbert Csordás
Dan Jurafsky
Christopher Potts
491
4
0
21 May 2025
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
491
6
0
16 May 2025
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric LearningComputer Vision and Pattern Recognition (CVPR), 2025
Can Küçüksözen
Yücel Yemez
OCL
599
1
0
04 May 2025
Are We Done with Object-Centric Learning?
Are We Done with Object-Centric Learning?
Alexander Rubinstein
Christian Schroeder de Witt
Matthias Bethge
Seong Joon Oh
OCL
2.2K
7
0
09 Apr 2025
Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure
Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure
Boshi Wang
Huan Sun
375
12
0
02 Apr 2025
Evaluating Compositional Scene Understanding in Multimodal Generative Models
Evaluating Compositional Scene Understanding in Multimodal Generative Models
Shuhao Fu
Andrew Jun Lee
Anna Wang
Ida Momennejad
Trevor Bihl
Hongjing Lu
Taylor Webb
CoGeOCL
350
4
0
29 Mar 2025
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
CTRL-O: Language-Controllable Object-Centric Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2025
Aniket Didolkar
Antonios Tragoudaras
Rabiul Awal
Maximilian Seitzer
E. Gavves
Aishwarya Agrawal
OCLVLM
479
9
0
27 Mar 2025
Neurosymbolic Decision Trees
Neurosymbolic Decision Trees
Matthias Möller
Arvid Norlander
Pedro Zuidberg Dos Martires
Luc de Raedt
NAI
334
0
0
11 Mar 2025
Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics
Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics
Sabine Muzellec
A. Alamia
Thomas Serre
Rufin VanRullen
439
1
0
28 Feb 2025
Object-centric Binding in Contrastive Language-Image Pretraining
Object-centric Binding in Contrastive Language-Image Pretraining
Rim Assouel
Pietro Astolfi
Florian Bordes
M. Drozdzal
Adriana Romero Soriano
OCLVLMCoGe
428
8
0
19 Feb 2025
Dynamic Scene Understanding through Object-Centric Voxelization and Neural Rendering
Dynamic Scene Understanding through Object-Centric Voxelization and Neural RenderingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Yanpeng Zhao
Yiwei Hao
Siyu Gao
Yunbo Wang
Xiaokang Yang
OCL
482
5
0
17 Feb 2025
TextOCVP: Object-Centric Video Prediction with Language Guidance
TextOCVP: Object-Centric Video Prediction with Language Guidance
Angel Villar-Corrales
Gjergj Plepi
Sven Behnke
VGenOCLDiffM
596
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
715
12
0
11 Feb 2025
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional GenerationInternational Conference on Learning Representations (ICLR), 2025
Adil Kaan Akan
Yucel Yemez
DiffMOCL
593
7
0
27 Jan 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
1.3K
2
0
21 Jan 2025
Efficient Object-centric Representation Learning with Pre-trained
  Geometric Prior
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
OCL
423
1
0
16 Dec 2024
Disentanglement and Compositionality of Letter Identity and Letter
  Position in Variational Auto-Encoder Vision Models
Disentanglement and Compositionality of Letter Identity and Letter Position in Variational Auto-Encoder Vision Models
Bruno Bianchi
Aakash Agrawal
S. Dehaene
Emmanuel Chemla
Yair Lakretz
DRLCoGe
421
0
0
11 Dec 2024
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
Pablo Lanillos
LM&RoOCL
613
2
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 ProblemNeural Information Processing Systems (NeurIPS), 2024
Declan Campbell
Sunayana Rane
Tyler Giallanza
Nicolò De Sabbata
Kia Ghods
...
Alexander Ku
Steven M. Frankland
Thomas Griffiths
Jonathan D. Cohen
Taylor W. Webb
488
65
0
31 Oct 2024
Unsupervised Object Discovery: A Comprehensive Survey and Unified
  Taxonomy
Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy
José-Fabian Villa-Vásquez
M. Pedersoli
528
4
0
30 Oct 2024
A Walsh Hadamard Derived Linear Vector Symbolic Architecture
A Walsh Hadamard Derived Linear Vector Symbolic ArchitectureNeural Information Processing Systems (NeurIPS), 2024
Mohammad Mahmudul Alam
Alexander Oberle
Edward Raff
Stella Biderman
Tim Oates
James Holt
LLMSV
361
7
0
30 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World ModellingInternational Conference on Learning Representations (ICLR), 2024
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
1.1K
2
0
28 Oct 2024
On Occlusions in Video Action Detection: Benchmark Datasets And Training
  Recipes
On Occlusions in Video Action Detection: Benchmark Datasets And Training RecipesNeural Information Processing Systems (NeurIPS), 2024
Rajat Modi
Vibhav Vineet
Yogesh S Rawat
391
7
0
25 Oct 2024
Object-Centric Temporal Consistency via Conditional Autoregressive
  Inductive Biases
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases
Cristian Meo
Akihiro Nakano
Mircea Lica
Aniket Didolkar
Masahiro Suzuki
Anirudh Goyal
Mengmi Zhang
Justin Dauwels
Y. Matsuo
Yoshua Bengio
OCL
333
4
0
21 Oct 2024
Overcoming classic challenges for artificial neural networks by providing incentives and practice
Overcoming classic challenges for artificial neural networks by providing incentives and practiceNature Machine Intelligence (Nat. Mach. Intell.), 2024
Kazuki Irie
Brenden M. Lake
639
8
0
14 Oct 2024
Next state prediction gives rise to entangled, yet compositional
  representations of objects
Next state prediction gives rise to entangled, yet compositional representations of objects
Tankred Saanum
Luca M. Schulze Buschoff
Peter Dayan
Eric Schulz
OCLCoGeOOD
240
2
0
07 Oct 2024
SPHINX: Structural Prediction using Hypergraph Inference Network
SPHINX: Structural Prediction using Hypergraph Inference Network
Iulia Duta
Pietro Lio
388
2
0
04 Oct 2024
Simplified priors for Object-Centric Learning
Simplified priors for Object-Centric Learning
Vihang Patil
Andreas Radler
Daniel Klotz
Sepp Hochreiter
OCL
250
1
0
01 Oct 2024
Linking in Style: Understanding learned features in deep learning models
Linking in Style: Understanding learned features in deep learning modelsEuropean Conference on Computer Vision (ECCV), 2024
Maren H. Wehrheim
Pamela Osuna-Vargas
Matthias Kaschube
GAN
260
0
0
25 Sep 2024
DisMix: Disentangling Mixtures of Musical Instruments for Source-level
  Pitch and Timbre Manipulation
DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation
Yin-Jyun Luo
K. Cheuk
Woosung Choi
Toshimitsu Uesaka
Keisuke Toyama
...
Chieh-Hsin Lai
Yuhta Takida
Wei-Hsiang Liao
Simon Dixon
Yuki Mitsufuji
CoGe
279
2
0
20 Aug 2024
Zero-Shot Object-Centric Representation Learning
Zero-Shot Object-Centric Representation Learning
Aniket Didolkar
Antonios Tragoudaras
Anirudh Goyal
Mike Mozer
Yoshua Bengio
Georg Martius
Maximilian Seitzer
VLMOCL
363
20
0
17 Aug 2024
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