Garrett Kinnebrew

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 64 citations into it
• Genetics — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Garrett Kinnebrew trusts overall

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

1. Robert Tibshirani
2. Teuvo Kohonen
3. Gordon K. Smyth
4. Dana H. Ballard
5. Peter J. Rousseeuw
6. Andrew P. Bradley
7. Steven L. Salzberg
8. Bradley Efron
9. Yoav Benjamini
10. Geoffrey E. Hinton

Papers from Garrett Kinnebrew's perspective

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

1. Gradient-based learning applied to document recognition
2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
3. Regression Shrinkage and Selection via the Lasso
4. ImageNet classification with deep convolutional neural networks
5. Visualizing Data using t-SNE
6. Learning representations by back-propagating errors
7. Controlling the false discovery rate: a practical and powerful approach to multiple testing
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources (2020) — 128 citations