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Explanatory models in neuroscience: Part 2 -- constraint-based intelligibility
3 April 2021
R. Cao
Daniel L. K. Yamins
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ArXiv (abs)
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Papers citing
"Explanatory models in neuroscience: Part 2 -- constraint-based intelligibility"
6 / 6 papers shown
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
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Sudhanshu Srivastava
Meenakshi Khosla
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26 Feb 2025
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
AI4CE
672
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24 May 2024
The Platonic Representation Hypothesis
International Conference on Machine Learning (ICML), 2024
Minyoung Huh
Brian Cheung
Tongzhou Wang
Phillip Isola
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301
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13 May 2024
A Rubric for Human-like Agents and NeuroAI
Philosophical Transactions of the Royal Society of London. Biological Sciences (Phil. Trans. R. Soc. B), 2022
Ida Momennejad
294
20
0
08 Dec 2022
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
634
222
0
14 Jul 2022
Testing the Tools of Systems Neuroscience on Artificial Neural Networks
Grace W. Lindsay
225
4
0
14 Feb 2022
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