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The Relational Bottleneck as an Inductive Bias for Efficient Abstraction

The Relational Bottleneck as an Inductive Bias for Efficient Abstraction

12 September 2023
Taylor W. Webb
Steven M. Frankland
Awni Altabaa
Simon N. Segert
Kamesh Krishnamurthy
Declan Campbell
Jacob Russin
Tyler Giallanza
Zack Dulberg
Randall O'Reilly
John Lafferty
Jonathan D. Cohen
ArXivPDFHTML

Papers citing "The Relational Bottleneck as an Inductive Bias for Efficient Abstraction"

23 / 23 papers shown
Title
Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation
Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation
Max Gupta
Sunayana Rane
R. Thomas McCoy
Thomas L. Griffiths
SSL
OOD
DRL
82
0
0
29 Mar 2025
Learning richness modulates equality reasoning in neural networks
William L. Tong
C. Pehlevan
42
0
0
12 Mar 2025
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Yukang Yang
Declan Campbell
Kaixuan Huang
Mengdi Wang
Jonathan D. Cohen
Taylor W. Webb
LRM
60
2
0
27 Feb 2025
Unraveling the geometry of visual relational reasoning
Unraveling the geometry of visual relational reasoning
Jiaqi Shang
Gabriel Kreiman
Haim Sompolinsky
37
0
0
24 Feb 2025
What is the Visual Cognition Gap between Humans and Multimodal LLMs?
What is the Visual Cognition Gap between Humans and Multimodal LLMs?
Xu Cao
Bolin Lai
Wenqian Ye
Yunsheng Ma
Joerg Heintz
Jintai Chen
Jianguo Cao
James M. Rehg
37
8
0
14 Jun 2024
Disentangling and Integrating Relational and Sensory Information in
  Transformer Architectures
Disentangling and Integrating Relational and Sensory Information in Transformer Architectures
Awni Altabaa
John Lafferty
27
2
0
26 May 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep
  neural networks
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
59
2
0
24 May 2024
LARS-VSA: A Vector Symbolic Architecture For Learning with Abstract
  Rules
LARS-VSA: A Vector Symbolic Architecture For Learning with Abstract Rules
Mohamed Mejri
C. Amarnath
Abhijit Chatterjee
30
1
0
23 May 2024
Evidence from counterfactual tasks supports emergent analogical
  reasoning in large language models
Evidence from counterfactual tasks supports emergent analogical reasoning in large language models
Taylor W. Webb
K. Holyoak
Hongjing Lu
LRM
ELM
22
4
0
14 Apr 2024
Slot Abstractors: Toward Scalable Abstract Visual Reasoning
Slot Abstractors: Toward Scalable Abstract Visual Reasoning
S. S. Mondal
Jonathan D. Cohen
Taylor W. Webb
OCL
27
8
0
06 Mar 2024
A Relational Inductive Bias for Dimensional Abstraction in Neural
  Networks
A Relational Inductive Bias for Dimensional Abstraction in Neural Networks
Declan Campbell
Jonathan D. Cohen
NAI
18
1
0
28 Feb 2024
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative
  Cognition Approach
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition Approach
Guillermo Puebla
Jeffrey S. Bowers
OCL
30
0
0
20 Feb 2024
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks
Declan Campbell
Sreejan Kumar
Tyler Giallanza
Thomas L. Griffiths
Jonathan D. Cohen
GNN
OCL
13
1
0
06 Feb 2024
When can transformers reason with abstract symbols?
When can transformers reason with abstract symbols?
Enric Boix-Adserà
Omid Saremi
Emmanuel Abbe
Samy Bengio
Etai Littwin
Josh Susskind
LRM
NAI
13
12
0
15 Oct 2023
Deep Neural Networks Can Learn Generalizable Same-Different Visual
  Relations
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
Alexa R. Tartaglini
Sheridan Feucht
Michael A. Lepori
Wai Keen Vong
Charles Lovering
Brenden Lake
Ellie Pavlick
ViT
OOD
17
3
0
14 Oct 2023
Learning Hierarchical Relational Representations through Relational
  Convolutions
Learning Hierarchical Relational Representations through Relational Convolutions
Awni Altabaa
John Lafferty
25
2
0
05 Oct 2023
Systematic Visual Reasoning through Object-Centric Relational
  Abstraction
Systematic Visual Reasoning through Object-Centric Relational Abstraction
Taylor W. Webb
S. S. Mondal
Jonathan D. Cohen
OCL
20
23
0
04 Jun 2023
Meta-Learned Models of Cognition
Meta-Learned Models of Cognition
Marcel Binz
Ishita Dasgupta
A. Jagadish
M. Botvinick
Jane X. Wang
Eric Schulz
26
23
0
12 Apr 2023
Abstractors and relational cross-attention: An inductive bias for
  explicit relational reasoning in Transformers
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
Awni Altabaa
Taylor W. Webb
Jonathan D. Cohen
John Lafferty
17
8
0
01 Apr 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
206
2,232
0
22 Mar 2023
Zero-shot visual reasoning through probabilistic analogical mapping
Zero-shot visual reasoning through probabilistic analogical mapping
Taylor W. Webb
Shuhao Fu
Trevor J. Bihl
K. Holyoak
Hongjing Lu
LRM
34
10
0
29 Sep 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
166
1,095
0
27 Apr 2021
Emergent Symbols through Binding in External Memory
Emergent Symbols through Binding in External Memory
Taylor W. Webb
I. Sinha
J. Cohen
59
62
0
29 Dec 2020
1