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Visual analogy: Deep learning versus compositional models

Visual analogy: Deep learning versus compositional models

14 May 2021
Nicholas Ichien
Qing Liu
Shuhao Fu
K. Holyoak
Alan Yuille
Hongjing Lu
    CoGe
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Papers citing "Visual analogy: Deep learning versus compositional models"

5 / 5 papers shown
Title
Learning to Extrapolate: A Transductive Approach
Learning to Extrapolate: A Transductive Approach
Aviv Netanyahu
Abhishek Gupta
Max Simchowitz
Kaipeng Zhang
Pulkit Agrawal
49
15
0
27 Apr 2023
Dissociating language and thought in large language models
Dissociating language and thought in large language models
Kyle Mahowald
Anna A. Ivanova
I. Blank
Nancy Kanwisher
J. Tenenbaum
Evelina Fedorenko
ELM
ReLM
34
209
0
16 Jan 2023
Zero-shot visual reasoning through probabilistic analogical mapping
Zero-shot visual reasoning through probabilistic analogical mapping
Taylor Webb
Shuhao Fu
Trevor Bihl
K. Holyoak
Hongjing Lu
LRM
58
12
0
29 Sep 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
125
42
0
28 Jan 2022
Tell me why! Explanations support learning relational and causal
  structure
Tell me why! Explanations support learning relational and causal structure
Andrew Kyle Lampinen
Nicholas A. Roy
Ishita Dasgupta
Stephanie C. Y. Chan
Allison C. Tam
...
Chen Yan
Adam Santoro
Neil C. Rabinowitz
Jane X. Wang
Felix Hill
35
45
0
07 Dec 2021
1