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James L. McClelland

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Stanford University

SODA: Bottleneck Diffusion Models for Representation Learning

Nov 29, 2023
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner

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Causal interventions expose implicit situation models for commonsense language understanding

Jun 07, 2023
Takateru Yamakoshi, James L. McClelland, Adele E. Goldberg, Robert D. Hawkins

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Out-of-Distribution Generalization in Algorithmic Reasoning Through Curriculum Learning

Oct 07, 2022
Andrew J. Nam, Mustafa Abdool, Trevor Maxfield, James L. McClelland

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Learning to Reason With Relational Abstractions

Oct 06, 2022
Andrew J. Nam, Mengye Ren, Chelsea Finn, James L. McClelland

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Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks

Oct 02, 2022
Yuxuan Li, James L. McClelland

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Language models show human-like content effects on reasoning

Jul 14, 2022
Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, Antonia Creswell, Dharshan Kumaran, James L. McClelland, Felix Hill

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Can language models learn from explanations in context?

Apr 05, 2022
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory Matthewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane X. Wang, Felix Hill

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Tell me why! -- Explanations support learning of relational and causal structure

Dec 08, 2021
Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill

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What underlies rapid learning and systematic generalization in humans

Jul 10, 2021
Andrew Joohun Nam, James L. McClelland

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Transforming task representations to allow deep learning models to perform novel tasks

May 08, 2020
Andrew K. Lampinen, James L. McClelland

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