Keith J. Holyoak
Developmental and Educational Psychology · 1980–2022
A researcher in the Science corpus: 22 papers; trusts 31 researchers and is trusted by 53 researchers here, as inferred from the citation graph.
Subfields
- Developmental and Educational Psychology — 78 citations into it; #778 of 8,223 by trust here, #786 by citations
- Artificial Intelligence — 58 citations into it; #12,582 of 35,345 by trust here, #7,797 by citations
- Cognitive Science & Psychology — 46 citations into it; #232 of 582 by trust here, #232 by citations
- Social Psychology — 40 citations into it
- Experimental and Cognitive Psychology — 38 citations into it
- Cognitive Neuroscience — 36 citations into it; #992 of 10,852 by trust here, #1,811 by citations
- Education — 30 citations into it; #5,676 of 11,309 by trust here, #4,209 by citations
- Natural Language Processing — 20 citations into it
Whom Keith J. Holyoak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dedre Gentner
- James L. McClelland
- Paul Thagard
- David E. Rumelhart
- George N. Reeke Jr.
- Patrick Henry Winston
- Kevin Dunbar
- D. Marr
- Gary F. Marcus
- Geoffrey E. Hinton
Who trusts Keith J. Holyoak overall
- Dedre Gentner
- Lindsey E. Richland
- Alexander Renkl
- Gilles E. Gignac
- Stephen K. Reed
- John E. Hummel
- Seth Chin-Parker
- Robert L. Goldstone
- Robert R. Hoffman
- Samuel B. Day
Papers from Keith J. Holyoak's perspective
Ordered by how strongly the researchers Keith J. Holyoak trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A symbolic-connectionist theory of relational inference and generalization. (2003) — 555 citations
- Emergent analogical reasoning in large language models (2022) — 497 citations
- Teaching the Conceptual Structure of Mathematics (2012) — 225 citations
- Structural Dynamics of Cognition: From Consistency Theories to Constraint Satisfaction (2002) — 177 citations
- Teaching by Analogy: From Theory to Practice (2021) — 86 citations
- The Oxford handbook of thinking and reasoning (2012)
- SemEval-2012 Task 2: Measuring Degrees of Relational Similarity (2012) — 222 citations
- Analogy and Relational Reasoning (2012) — 374 citations
- Darwin's mistake: Explaining the discontinuity between human and nonhuman minds (2008) — 962 citations
- The Cambridge handbook of thinking and reasoning (2005) — 1,478 citations
- Analogy Use in Eighth-Grade Mathematics Classrooms (2004) — 161 citations
- A Solution to the Binding Problem for Compositional Connectionism (2004) — 30 citations
- Conditionals: a theory of meaning, pragmatics, and inference. (2002) — 776 citations
- Rostrolateral Prefrontal Cortex Involvement in Relational Integration during Reasoning (2001) — 669 citations
- The analogical mind : perspectives from cognitive science (2001) — 1,190 citations
- The impact of anxiety on analogical reasoning (2000) — 134 citations
- The analogical mind. (1997)
- Below the Surface: Analogical Similarity and Retrieval Competition in Reminding (1994)
- Distributing structure over time (1993)
- Analogical Mapping by Constraint Satisfaction (1989)