Gail L. Rosen

Molecular Biology · 2010–2021

A researcher in the Science corpus: 10 papers; trusts 49 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Gail L. Rosen trusts overall

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

  1. Geoffrey E. Hinton
  2. Alice Carolyn McHardy
  3. Rekha Seshadri
  4. Leo Breiman
  5. Mario Stanke
  6. Weizhong Li
  7. Stephen F. Altschul
  8. Robert Tibshirani
  9. Ron Kohavi
  10. Genís Parra

Who trusts Gail L. Rosen overall

  1. Hayssam Soueidan
  2. Gregory Ditzler
  3. Florian P. Breitwieser
  4. Rachid Ounit
  5. Travers Ching
  6. Nicola Segata
  7. Macha Nikolski
  8. Binh Thai Pham
  9. Jie Jessie Ren
  10. Torsten Thomas

Papers from Gail L. Rosen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers