Rachel Karchin

Molecular Biology · 2002–2022

A researcher in the Science corpus: 22 papers; trusts 21 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Rachel Karchin trusts overall

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

  1. Tommi S. Jaakkola
  2. Pauline Crystal Ng
  3. Kevin J. Karplus
  4. Steven Henikoff
  5. David Haussler
  6. Anders Krogh
  7. Shamil R. Sunyaev
  8. Dustin Boswell
  9. Ryan N. Gutenkunst
  10. Peihua Qiu

Who trusts Rachel Karchin overall

  1. John Thomas
  2. Naren Ramakrishnan
  3. Abhishek Niroula
  4. Ö. S. Saraç
  5. C. Bailey‐Kellogg
  6. Mauno Vihinen
  7. Özge Gürsoy-Yüzügüllü
  8. Charlotte Soneson
  9. Rory Stark
  10. Manu N. Setty

Papers from Rachel Karchin's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers