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How Well Do Deep Learning Models Capture Human Concepts? The Case of the
  Typicality Effect

How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect

25 May 2024
Siddhartha K. Vemuri
Raj Sanjay Shah
Sashank Varma
    VLM
ArXivPDFHTML

Papers citing "How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect"

6 / 6 papers shown
Title
Investigating Human-Aligned Large Language Model Uncertainty
Investigating Human-Aligned Large Language Model Uncertainty
Kyle Moore
Jesse Roberts
Daryl Watson
Pamela Wisniewski
58
0
0
16 Mar 2025
Basic Category Usage in Vision Language Models
Basic Category Usage in Vision Language Models
Hunter Sawyer
Jesse Roberts
Kyle Moore
VLM
51
0
0
16 Mar 2025
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
Raj Sanjay Shah
Sashank Varma
LRM
89
0
0
22 Jan 2025
Development of Cognitive Intelligence in Pre-trained Language Models
Development of Cognitive Intelligence in Pre-trained Language Models
Raj Sanjay Shah
Khushi Bhardwaj
Sashank Varma
31
2
0
01 Jul 2024
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
264
36,371
0
25 Aug 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
245
31,257
0
16 Jan 2013
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