Kevin P. Murphy

Artificial Intelligence · 2006

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #2,659 of 35,345 by trust here, #15,236 by citations
• Computer Vision and Pattern Recognition — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Kevin P. Murphy trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. N. Schraudolph
2. Michael Collins
3. Barak A. Pearlmutter
4. Burr Settles
5. Andreas Griewank
6. E. Tjong Kim Sang
7. John D. Lafferty
8. Yuri Boykov
9. Lynette Hirschman
10. Andrew McCallum

Who trusts Kevin P. Murphy overall

1. Justin Domke
2. Brian D. Ziebart
3. Mark W. Schmidt
4. L. Eon Bottou
5. Philipp Krahenbuhl
6. Quoc V. Le
7. Tamir Hazan
8. Fadime Sener
9. Thomas Finley
10. Yann LeCun

Papers from Kevin P. Murphy's perspective

Ordered by how strongly the researchers Kevin P. Murphy trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Accelerated training of conditional random fields with stochastic gradient methods (2006) — 355 citations
• Information theory (2006)