James L. McClelland
Stanford University
H-index: 119
North America-United States
Top articles of James L. McClelland
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Representations and Computations in Transformers that Support Generalization on Structured Tasks | Transactions on Machine Learning Research | Yuxuan Li James McClelland | 2023/6/23 |
Causal interventions expose implicit situation models for commonsense language understanding | arXiv preprint arXiv:2306.03882 | Takateru Yamakoshi James L McClelland Adele E Goldberg Robert D Hawkins | 2023/6/6 |
Retrieval induced forgetting in a non-monotonic hippocampal model | bioRxiv | Benjamin Midler James L McClelland | 2023 |
SODA: Bottleneck Diffusion Models for Representation Learning | arXiv preprint arXiv:2311.17901 | Drew A Hudson Daniel Zoran Mateusz Malinowski Andrew K Lampinen Andrew Jaegle | 2023/11/29 |
Sequential Learning and Retrieval in a Sparse Distributed Memory: The K-winner Modern Hopfield Network | Shaunak Bhandarkar James Lloyd McClelland | 2023/11/26 | |
Continual learning and out of distribution generalization in a systematic reasoning task | MATH-AI: The 3rd Workshop on Mathematical Reasoning and AI at NeurIPS | Mustafa Abdool Andrew J Nam James L McClelland | 2023/10/28 |
Can language models learn from explanations in context? | arXiv preprint arXiv:2204.02329 | Andrew K Lampinen Ishita Dasgupta Stephanie CY Chan Kory Matthewson Michael Henry Tessler | 2022/4/5 |
Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers | arXiv preprint arXiv:2210.03275 | Andrew J Nam Mustafa Abdool Trevor Maxfield James L McClelland | 2022/10/7 |
Learning the structure of event sequences | Axel Cleeremans James L McClelland | 2022/3/30 | |
Learning to reason with relational abstractions | arXiv preprint arXiv:2210.02615 | Andrew J Nam Mengye Ren Chelsea Finn James L McClelland | 2022/10/6 |
Systematic generalization and emergent structures in transformers trained on structured tasks | arXiv preprint arXiv:2210.00400 | Yuxuan Li James L McClelland | 2022/10/2 |
Out-of-Distribution Generalization in Algorithmic Reasoning Through Curriculum Learning. | CoRR | Andrew Joohun Nam Mustafa Abdool Trevor Maxfield James L McClelland | 2022 |
Tell me why! explanations support learning relational and causal structure | Andrew K Lampinen Nicholas Roy Ishita Dasgupta Stephanie CY Chan Allison Tam | 2022/6/28 | |
Data distributional properties drive emergent in-context learning in transformers | Advances in Neural Information Processing Systems | Stephanie Chan Adam Santoro Andrew Lampinen Jane Wang Aaditya Singh | 2022/12/6 |
A weighted constraint satisfaction approach to human goal-directed decision making | PLOS Computational Biology | Yuxuan Li James L McClelland | 2022/6/16 |
Capturing advanced human cognitive abilities with deep neural networks | James L McClelland | 2022/12/1 | |
What underlies rapid learning and systematic generalization in humans | Preprint at http://arxiv. org/abs/2107.06994 | Andrew Joohun Nam James L McClelland | 2021 |
Representational redescription: An appreciation of one of Annette Karmiloff-Smith’s key contributions to developmental science | Taking Development Seriously A Festschrift for Annette Karmiloff-Smith: Neuroconstructivism and the Multi-Disciplinary Approach to Understanding the Emergence of Mind | James L McClelland | 2021/5/16 |
Do estimates of numerosity really adhere to Weber’s law? A reexamination of two case studies | Psychonomic Bulletin & Review | Alberto Testolin James L McClelland | 2021/2 |
Intrusions into the shadow of attention: A new take on illusory conjunctions | Attention, Perception, & Psychophysics | Cynthia M Henderson James L McClelland | 2020/2 |
Co-Authors
