McClelland, James L.
- Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
2013/12/20 by Andrew M. Saxe, Andrew Saxe, James L. McClelland +4 · 1 voice · 172 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Neural Networks and Applications #cond-mat.dis-nn #cs.CV #cs.LG #cs.NE #q-bio.NC #stat.ML
- Can language models learn from explanations in context?
2022/04/05 by Lampinen, Andrew K., Dasgupta, Ishita, Chan, Stephanie C. Y. +6 · 24 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Language models show human-like content effects on reasoning tasks
2022/07/14 by Dasgupta, Ishita, Lampinen, Andrew K., Chan, Stephanie C. Y. +5 · 10 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- SODA: Bottleneck Diffusion Models for Representation Learning
2023/11/29 by Drew A. Hudson, Hudson, Drew A., Daniel Zoran +15 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- On the generalization of language models from in-context learning and finetuning: a controlled study
2025/05/01 by Andrew K. Lampinen, Arslan Chaudhry, Lampinen, Andrew K. +18 · 4 voices · 12 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
- Environmental drivers of systematicity and generalization in a situated agent
2019/10/01 by Felix Hill, Andrew K. Lampinen, Hill, Felix +11 · 6 citations
Social Sciences · Computer Science · #Language and cultural evolution #Evolutionary Algorithms and Applications #Multi-Agent Systems and Negotiation
- Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences
2025/09/19 by Andrew Kyle Lampinen, Martin Engelcke, Lampinen, Andrew Kyle +7 · 3 voices · 4 citations
#cs.LG #cs.CL
- Extending Machine Language Models toward Human-Level Language Understanding
2019/12/12 by McClelland, James L., Hill, Felix, Rudolph, Maja +2 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Systematic human learning and generalization from a brief tutorial with explanatory feedback
2021/07/10 by Nam, Andrew J., McClelland, James L. · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Symbolic Computation (cs.SC)
- Tell me why! Explanations support learning relational and causal structure
2021/12/07 by Lampinen, Andrew K., Roy, Nicholas A., Dasgupta, Ishita +8 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks
2022/10/02 by Li, Yuxuan, McClelland, James L. · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG)
- Emergent Symbol-like Number Variables in Artificial Neural Networks
2025/01/10 by Satchel Grant, Grant, Satchel, Noah D. Goodman +3 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)