Sam Patterson

Artificial Intelligence · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Probabilistic & Bayesian Methods — 17 citations into it
• Statistics and Probability — 7 citations into it; #5,816 of 12,932 by trust here, #5,661 by citations

Whom Sam Patterson trusts overall

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

1. Radford M. Neal
2. Max Welling
3. Matthew D. Hoffman
4. David M. Blei
5. David Mimno
6. S. Ahn
7. Yee Whye Teh
8. Michael I. Jordan
9. Geoffrey E. Hinton
10. David E. Heckerman

Who trusts Sam Patterson overall

1. Chunyuan Li
2. Changyou Chen
3. Tianqi Chen
4. Christopher Nemeth
5. Gary Bécigneul
6. Bo Dai
7. Carlos Riquelme
8. Yian Ma
9. Hao Zhang
10. Jackson Gorham

Papers from Sam Patterson's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Conditional mean embeddings as regressors (2012) — 165 citations
• Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex (2013) — 274 citations