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Extracting low-dimensional psychological representations from
  convolutional neural networks

Extracting low-dimensional psychological representations from convolutional neural networks

Annual Meeting of the Cognitive Science Society (CogSci), 2020
29 May 2020
Aditi Jha
Joshua C. Peterson
Thomas Griffiths
    FAttHAI
ArXiv (abs)PDFHTML

Papers citing "Extracting low-dimensional psychological representations from convolutional neural networks"

15 / 15 papers shown
Replicating Human Social Perception in Generative AI: Evaluating the Valence-Dominance Model
Replicating Human Social Perception in Generative AI: Evaluating the Valence-Dominance Model
Necdet Gurkan
Kimathi Njoki
Jordan W. Suchow
269
0
0
05 Mar 2025
Explaining Human Comparisons using Alignment-Importance Heatmaps
Explaining Human Comparisons using Alignment-Importance Heatmaps
Nhut Truong
Dario Pesenti
Uri Hasson
215
2
0
08 Sep 2024
Human-like object concept representations emerge naturally in multimodal large language models
Human-like object concept representations emerge naturally in multimodal large language models
Changde Du
Kaicheng Fu
Bincheng Wen
Yi Sun
Jie Peng
...
Chuncheng Zhang
Jinpeng Li
Shuang Qiu
Le Chang
Huiguang He
577
34
0
01 Jul 2024
Face processing emerges from object-trained convolutional neural networks
Face processing emerges from object-trained convolutional neural networks
Zhenhua Zhao
Ji Chen
Zhicheng Lin
Haojiang Ying
OODCVBM
357
0
0
29 May 2024
CoCoG: Controllable Visual Stimuli Generation based on Human Concept
  Representations
CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations
Chen Wei
Jiachen Zou
Dietmar Heinke
Quanying Liu
277
9
0
25 Apr 2024
Improving deep learning with prior knowledge and cognitive models: A
  survey on enhancing explainability, adversarial robustness and zero-shot
  learning
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learningCognitive Systems Research (Cogn. Syst. Res.), 2023
F. Mumuni
A. Mumuni
AAML
360
18
0
11 Mar 2024
Algebras of actions in an agent's representations of the world
Algebras of actions in an agent's representations of the worldArtificial Intelligence (AIJ), 2023
Alexander Dean
Eduardo Alonso
Esther Mondragón
371
0
0
02 Oct 2023
Divergences in Color Perception between Deep Neural Networks and Humans
Divergences in Color Perception between Deep Neural Networks and Humans
E. Nadler
Elise Darragh-Ford
Bhargav Srinivasa Desikan
Christian Conaway
Mark Chu
Tasker Hull
Douglas Guilbeault
203
10
0
11 Sep 2023
The Universal Law of Generalization Holds for Naturalistic Stimuli
The Universal Law of Generalization Holds for Naturalistic StimuliJournal of experimental psychology. General (JEP: General), 2023
Raja Marjieh
Nori Jacoby
Joshua C. Peterson
Thomas Griffiths
AILaw
205
5
0
14 Jun 2023
A Rational Model of Dimension-reduced Human Categorization
A Rational Model of Dimension-reduced Human Categorization
Yifan Hong
Chen Wang
173
0
0
22 May 2023
On the Informativeness of Supervision Signals
On the Informativeness of Supervision SignalsConference on Uncertainty in Artificial Intelligence (UAI), 2022
Ilia Sucholutsky
Ruairidh M. Battleday
Katherine M. Collins
Raja Marjieh
Joshua C. Peterson
Pulkit Singh
Umang Bhatt
Nori Jacoby
Adrian Weller
Thomas Griffiths
275
19
0
02 Nov 2022
Words are all you need? Language as an approximation for human
  similarity judgments
Words are all you need? Language as an approximation for human similarity judgmentsInternational Conference on Learning Representations (ICLR), 2022
Raja Marjieh
Pol van Rijn
Ilia Sucholutsky
T. Sumers
Harin Lee
Thomas Griffiths
Nori Jacoby
339
23
0
08 Jun 2022
Predicting Human Similarity Judgments Using Large Language Models
Predicting Human Similarity Judgments Using Large Language ModelsAnnual Meeting of the Cognitive Science Society (CogSci), 2022
Raja Marjieh
Ilia Sucholutsky
T. Sumers
Nori Jacoby
Thomas Griffiths
197
13
0
09 Feb 2022
Grounding Psychological Shape Space in Convolutional Neural Networks
Grounding Psychological Shape Space in Convolutional Neural Networks
Lucas Bechberger
Kai-Uwe Kühnberger
99
3
0
16 Nov 2021
Investigating Emotion-Color Association in Deep Neural Networks
Investigating Emotion-Color Association in Deep Neural Networks
Shivi Gupta
Shashi Kant Gupta
108
4
0
22 Nov 2020
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