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Measuring abstract reasoning in neural networks

Measuring abstract reasoning in neural networks

11 July 2018
David Barrett
Felix Hill
Adam Santoro
Ari S. Morcos
Timothy Lillicrap
    OOD
ArXivPDFHTML

Papers citing "Measuring abstract reasoning in neural networks"

50 / 65 papers shown
Title
NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI
NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI
Hanchen Yang
Zishen Wan
Ritik Raj
Joongun Park
Ziwei Li
A. Samajdar
A. Raychowdhury
Tushar Krishna
26
0
0
27 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
CoGe
OCL
109
1
0
29 Mar 2025
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 L. Griffiths
Jonathan D. Cohen
Taylor W. Webb
42
13
0
31 Oct 2024
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for
  Reinforcement Learning
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
Hosung Lee
Sejin Kim
Seungpil Lee
Sanha Hwang
Jihwan Lee
Byung-Jun Lee
Sundong Kim
LRM
37
8
0
30 Jul 2024
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning
Mikołaj Małkiński
Jacek Mańdziuk
36
0
0
16 Jun 2024
Attention as a Hypernetwork
Attention as a Hypernetwork
Simon Schug
Seijin Kobayashi
Yassir Akram
João Sacramento
Razvan Pascanu
GNN
37
3
0
09 Jun 2024
What's Left? Concept Grounding with Logic-Enhanced Foundation Models
What's Left? Concept Grounding with Logic-Enhanced Foundation Models
Joy Hsu
Jiayuan Mao
Joshua B. Tenenbaum
Jiajun Wu
VLM
ReLM
LRM
33
21
0
24 Oct 2023
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
40
19
0
16 Aug 2023
Abstracting Concept-Changing Rules for Solving Raven's Progressive
  Matrix Problems
Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems
Fan Shi
Bin Li
Xiangyang Xue
LRM
34
9
0
15 Jul 2023
Stability and Generalization of lp-Regularized Stochastic Learning for
  GCN
Stability and Generalization of lp-Regularized Stochastic Learning for GCN
Shiyu Liu
Linsen Wei
Shaogao Lv
Ming Li
MLT
25
0
0
20 May 2023
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's
  Progressive Matrices
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices
Jingyi Xu
Tushar Vaidya
Y. Blankenship
Saket Chandra
Zhangsheng Lai
Kai Fong Ernest Chong
41
8
0
21 Mar 2023
Learning to reason over visual objects
Learning to reason over visual objects
S. S. Mondal
Taylor Webb
Jonathan D. Cohen
OCL
30
28
0
03 Mar 2023
Emergent Analogical Reasoning in Large Language Models
Emergent Analogical Reasoning in Large Language Models
Taylor Webb
K. Holyoak
Hongjing Lu
ReLM
ELM
LRM
AI4CE
38
291
0
19 Dec 2022
Disentangled Representation Learning
Disentangled Representation Learning
Xin Wang
Hong Chen
Siao Tang
Zihao Wu
Wenwu Zhu
DRL
35
78
0
21 Nov 2022
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias
  Boost Machine Abstract Reasoning Ability
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning Ability
Qinglai Wei
Diancheng Chen
Beiming Yuan
32
10
0
26 Oct 2022
Multimodal Analogical Reasoning over Knowledge Graphs
Multimodal Analogical Reasoning over Knowledge Graphs
Ningyu Zhang
Lei Li
Xiang Chen
Xiaozhuan Liang
Shumin Deng
Huajun Chen
54
26
0
01 Oct 2022
On the visual analytic intelligence of neural networks
On the visual analytic intelligence of neural networks
Stanislaw Wo'zniak
Hlynur Jónsson
G. Cherubini
A. Pantazi
E. Eleftheriou
25
0
0
28 Sep 2022
FACT: Learning Governing Abstractions Behind Integer Sequences
FACT: Learning Governing Abstractions Behind Integer Sequences
Peter Belcak
Ard Kastrati
Flavio Schenker
Roger Wattenhofer
38
5
0
20 Sep 2022
Compositional Law Parsing with Latent Random Functions
Compositional Law Parsing with Latent Random Functions
Fan Shi
Bin Li
Xiangyang Xue
CoGe
21
4
0
15 Sep 2022
Evaluating Understanding on Conceptual Abstraction Benchmarks
Evaluating Understanding on Conceptual Abstraction Benchmarks
Victor Vikram Odouard
Melanie Mitchell
ELM
30
14
0
28 Jun 2022
Interactive Visual Reasoning under Uncertainty
Interactive Visual Reasoning under Uncertainty
Manjie Xu
Guangyuan Jiang
Wei Liang
Song-Chun Zhu
Yixin Zhu
LRM
47
5
0
18 Jun 2022
Symmetry as a Representation of Intuitive Geometry?
Symmetry as a Representation of Intuitive Geometry?
Wangcheng Xu
Snejana Shegheva
Ashok K. Goel
21
1
0
04 Jun 2022
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object
  Interactions
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions
Huaizu Jiang
Xiaojian Ma
Weili Nie
Zhiding Yu
Yuke Zhu
Song-Chun Zhu
Anima Anandkumar
VLM
28
36
0
27 May 2022
Effective Abstract Reasoning with Dual-Contrast Network
Effective Abstract Reasoning with Dual-Contrast Network
Tao Zhuo
Mohan S. Kankanhalli
16
40
0
27 May 2022
Blackbird's language matrices (BLMs): a new benchmark to investigate
  disentangled generalisation in neural networks
Blackbird's language matrices (BLMs): a new benchmark to investigate disentangled generalisation in neural networks
Paola Merlo
A. An
M. A. Rodriguez
28
9
0
22 May 2022
RelViT: Concept-guided Vision Transformer for Visual Relational
  Reasoning
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
Xiaojian Ma
Weili Nie
Zhiding Yu
Huaizu Jiang
Chaowei Xiao
Yuke Zhu
Song-Chun Zhu
Anima Anandkumar
ViT
LRM
30
19
0
24 Apr 2022
Theory of Graph Neural Networks: Representation and Learning
Theory of Graph Neural Networks: Representation and Learning
Stefanie Jegelka
GNN
AI4CE
33
68
0
16 Apr 2022
Abstraction for Deep Reinforcement Learning
Abstraction for Deep Reinforcement Learning
Murray Shanahan
Melanie Mitchell
OffRL
27
28
0
10 Feb 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's
  Progressive Matrices
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices
Mikolaj Malkiñski
Jacek Mańdziuk
120
41
0
28 Jan 2022
Automatic Item Generation of Figural Analogy Problems: A Review and
  Outlook
Automatic Item Generation of Figural Analogy Problems: A Review and Outlook
Yu’an Yang
Deepayan Sanyal
Joel Michelson
James Ainooson
M. Kunda
25
5
0
20 Jan 2022
Building Human-like Communicative Intelligence: A Grounded Perspective
Building Human-like Communicative Intelligence: A Grounded Perspective
M. Dubova
29
12
0
02 Jan 2022
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
Haoyang Li
Xin Wang
Ziwei Zhang
Wenwu Zhu
OODD
OOD
29
97
0
07 Dec 2021
Recurrent Vision Transformer for Solving Visual Reasoning Problems
Recurrent Vision Transformer for Solving Visual Reasoning Problems
Nicola Messina
Giuseppe Amato
F. Carrara
Claudio Gennaro
Fabrizio Falchi
ViT
LRM
22
11
0
29 Nov 2021
Logical Activation Functions: Logit-space equivalents of Probabilistic
  Boolean Operators
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators
S. Lowe
Robert C. Earle
Jason dÉon
Thomas Trappenberg
Sageev Oore
23
1
0
22 Oct 2021
StructFormer: Learning Spatial Structure for Language-Guided Semantic
  Rearrangement of Novel Objects
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects
Weiyu Liu
Chris Paxton
Tucker Hermans
D. Fox
35
91
0
19 Oct 2021
Dynamic Inference with Neural Interpreters
Dynamic Inference with Neural Interpreters
Nasim Rahaman
Muhammad Waleed Gondal
S. Joshi
Peter V. Gehler
Yoshua Bengio
Francesco Locatello
Bernhard Schölkopf
34
31
0
12 Oct 2021
Predicting decision-making in the future: Human versus Machine
Predicting decision-making in the future: Human versus Machine
H. Ryu
Uijong Ju
C. Wallraven
3DH
25
0
0
09 Oct 2021
Unsupervised Abstract Reasoning for Raven's Problem Matrices
Unsupervised Abstract Reasoning for Raven's Problem Matrices
Tao Zhuo
Qian Huang
Mohan S. Kankanhalli
LRM
113
22
0
21 Sep 2021
Pointer Value Retrieval: A new benchmark for understanding the limits of
  neural network generalization
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization
Chiyuan Zhang
M. Raghu
Jon M. Kleinberg
Samy Bengio
OOD
32
30
0
27 Jul 2021
Size-Invariant Graph Representations for Graph Classification
  Extrapolations
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua
Yangze Zhou
Bruno Ribeiro
OOD
35
108
0
08 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical
  Reasoning
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes
Christopher Kanan
CLL
16
20
0
06 Mar 2021
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem
  Solving
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving
Sirui Xie
Xiaojian Ma
Peiyu Yu
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
42
20
0
22 Feb 2021
Differentiable sampling of molecular geometries with uncertainty-based
  adversarial attacks
Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks
Daniel Schwalbe-Koda
Aik Rui Tan
Rafael Gómez-Bombarelli
AAML
31
60
0
27 Jan 2021
Emergent Symbols through Binding in External Memory
Emergent Symbols through Binding in External Memory
Taylor Webb
I. Sinha
Jonathan D. Cohen
67
64
0
29 Dec 2020
From Local Structures to Size Generalization in Graph Neural Networks
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai
Ethan Fetaya
E. Meirom
Gal Chechik
Haggai Maron
GNN
AI4CE
172
123
0
17 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
47
87
0
05 Oct 2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and
  Reasoning
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
Weili Nie
Zhiding Yu
Lei Mao
Ankit B. Patel
Yuke Zhu
Anima Anandkumar
VLM
LRM
10
75
0
02 Oct 2020
Scale-Localized Abstract Reasoning
Scale-Localized Abstract Reasoning
Yaniv Benny
Niv Pekar
Lior Wolf
28
60
0
20 Sep 2020
The Scattering Compositional Learner: Discovering Objects, Attributes,
  Relationships in Analogical Reasoning
The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning
Yuhuai Wu
Honghua Dong
Roger C. Grosse
Jimmy Ba
CoGe
24
66
0
08 Jul 2020
A Study of Compositional Generalization in Neural Models
A Study of Compositional Generalization in Neural Models
Tim Klinger
D. Adjodah
Vincent Marois
Joshua Joseph
Matthew D Riemer
Alex Pentland
Murray Campbell
CoGe
NAI
30
12
0
16 Jun 2020
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