Tara Eicher

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 Tara Eicher 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 Tara Eicher's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

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