Gregory L. Murphy
Artificial Intelligence · 1985–2020
A researcher in the Science corpus: 9 papers; trusts 252 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it; #29,582 of 35,345 by trust here, #25,809 by citations
- Natural Language Processing — 50 citations into it; #4,820 of 5,688 by trust here, #4,682 by citations
- Computer Vision and Pattern Recognition — 37 citations into it
- Cognitive Science & Psychology — 19 citations into it
- Representation & Self-Supervised Learning — 14 citations into it; #2,683 of 3,145 by trust here, #2,691 by citations
- Evaluation & Benchmarks — 12 citations into it
- Large Language Models — 11 citations into it
- Multimodal Learning — 10 citations into it
Whom Gregory L. Murphy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eleanor Rosch
- Carolyn B. Mervis
- Geoffrey E. Hinton
- Tomas Mikolov
- Yoshua Bengio
- Marco Baroni
- T. Landauer
- Ryszard S. Michalski
- Alex Krizhevsky
- Ilya Sutskever
Who trusts Gregory L. Murphy overall
- Arthur B. Markman
- Brenden M. Lake
- Thomas B. Ward
- Josh Tenenbaum
- Tyler Wry
- Corinne Zimmerman
- James L. McClelland
- Timothy T. Rogers
- Tomer D. Ullman
- Woo-Kyoung Ahn
Papers from Gregory L. Murphy's perspective
Ordered by how strongly the researchers Gregory L. Murphy trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Word meaning in minds and machines (2020) — 149 citations
- What are categories and concepts (2010) — 51 citations
- Paper has been my ruin: Conceptual relations of polysemous senses (2002) — 157 citations
- The Representation of Polysemous Words (2001) — 300 citations
- Predictions from uncertain categorizations. (1994)
- A rational theory of concepts (1993)
- Comprehending Complex Concepts (1988)
- The role of theories in conceptual coherence. (1985)
- Category differentiation in object recognition: typicality constraints on the basic category advantage. (1985)