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Abstraction and Analogy-Making in Artificial Intelligence

Abstraction and Analogy-Making in Artificial Intelligence

22 February 2021
Melanie Mitchell
ArXivPDFHTML

Papers citing "Abstraction and Analogy-Making in Artificial Intelligence"

29 / 29 papers shown
Title
Human-like conceptual representations emerge from language prediction
Human-like conceptual representations emerge from language prediction
Ningyu Xu
Qi Zhang
Chao Du
Qiang Luo
Xipeng Qiu
Xuanjing Huang
Menghan Zhang
70
0
0
21 Jan 2025
How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons
How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons
Michael Pichat
William Pogrund
Armanush Gasparian
Paloma Pichat
Samuel Demarchi
Michael Veillet-Guillem
42
3
0
26 Dec 2024
Towards Robust Knowledge Representations in Multilingual LLMs for
  Equivalence and Inheritance based Consistent Reasoning
Towards Robust Knowledge Representations in Multilingual LLMs for Equivalence and Inheritance based Consistent Reasoning
Gaurav Arora
Srujana Merugu
Shreya Jain
Vaibhav Saxena
LRM
32
0
0
18 Oct 2024
Any four real numbers are on all fours with analogy
Any four real numbers are on all fours with analogy
Yves Lepage
Miguel Couceiro
23
0
0
26 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 Mañdziuk
34
0
0
16 Jun 2024
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
Chen Huang
Yiping Jin
Ilija Ilievski
Wenqiang Lei
Jiancheng Lv
35
3
0
20 May 2024
FAME: Flexible, Scalable Analogy Mappings Engine
FAME: Flexible, Scalable Analogy Mappings Engine
Shahar Jacob
Chen Shani
Dafna Shahaf
17
1
0
03 Nov 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
33
3
0
14 Oct 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
32
9
0
15 Jul 2023
Learning to Extrapolate: A Transductive Approach
Learning to Extrapolate: A Transductive Approach
Aviv Netanyahu
Abhishek Gupta
Max Simchowitz
K. Zhang
Pulkit Agrawal
43
15
0
27 Apr 2023
IRFL: Image Recognition of Figurative Language
IRFL: Image Recognition of Figurative Language
Ron Yosef
Yonatan Bitton
Dafna Shahaf
35
17
0
27 Mar 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
Jointly Learning Consistent Causal Abstractions Over Multiple
  Interventional Distributions
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions
Fabio Massimo Zennaro
Máté Drávucz
G. Apachitei
W. D. Widanage
Theodoros Damoulas
31
12
0
14 Jan 2023
Towards Reasoning in Large Language Models: A Survey
Towards Reasoning in Large Language Models: A Survey
Jie Huang
Kevin Chen-Chuan Chang
LM&MA
ELM
LRM
27
580
0
20 Dec 2022
Emergent Analogical Reasoning in Large Language Models
Emergent Analogical Reasoning in Large Language Models
Taylor W. Webb
K. Holyoak
Hongjing Lu
ReLM
ELM
LRM
AI4CE
38
291
0
19 Dec 2022
Gathering Strength, Gathering Storms: The One Hundred Year Study on
  Artificial Intelligence (AI100) 2021 Study Panel Report
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report
Michael L. Littman
Ifeoma Ajunwa
G. Berger
Craig Boutilier
Morgan E. Currie
...
Melanie Mitchell
J. Shah
S. Sloman
Shannon Vallor
T. Walsh
ELM
24
100
0
27 Oct 2022
Functional Indirection Neural Estimator for Better Out-of-distribution
  Generalization
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
K. Pham
Hung Le
Man Ngo
T. Tran
OODD
30
1
0
23 Oct 2022
Life is a Circus and We are the Clowns: Automatically Finding Analogies
  between Situations and Processes
Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes
Oren Sultan
Dafna Shahaf
33
27
0
21 Oct 2022
Predicting the Future of AI with AI: High-quality link prediction in an
  exponentially growing knowledge network
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
Mario Krenn
L. Buffoni
B. Coutinho
S. Eppel
J. Foster
...
Ngoc M. Tran
Francisco Valente
Yangxinyu Xie
Rose Yu
Michael K Kopp
30
41
0
23 Sep 2022
Language models show human-like content effects on reasoning tasks
Language models show human-like content effects on reasoning tasks
Ishita Dasgupta
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Hannah R. Sheahan
Antonia Creswell
D. Kumaran
James L. McClelland
Felix Hill
ReLM
LRM
28
180
0
14 Jul 2022
Putting GPT-3's Creativity to the (Alternative Uses) Test
Putting GPT-3's Creativity to the (Alternative Uses) Test
Claire E. Stevenson
I. Smal
M. Baas
R. Grasman
Han L. J. van der Maas
17
82
0
10 Jun 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 Mañdziuk
120
41
0
28 Jan 2022
Explanatory Learning: Beyond Empiricism in Neural Networks
Explanatory Learning: Beyond Empiricism in Neural Networks
Antonio Norelli
Giorgio Mariani
Luca Moschella
Andrea Santilli
Giambattista Parascandolo
Simone Melzi
Emanuele Rodolà
14
2
0
25 Jan 2022
Why AI is Harder Than We Think
Why AI is Harder Than We Think
Melanie Mitchell
23
95
0
26 Apr 2021
Emergent Symbols through Binding in External Memory
Emergent Symbols through Binding in External Memory
Taylor W. Webb
I. Sinha
J. Cohen
67
64
0
29 Dec 2020
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
218
188
0
03 May 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,950
0
20 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
308
11,681
0
09 Mar 2017
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