George Stein

Astronomy and Astrophysics · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom George Stein trusts overall

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

  1. Sergey Ioffe
  2. Kaiming He
  3. Olaf Ronneberger
  4. Fausto Milletarì
  5. Christian Szegedy
  6. J. Tinker
  7. X. Zhang
  8. Sarah Verschueren
  9. Andrey V. Kravtsov
  10. Shaoqing Ren

Papers from George Stein's perspective

Ordered by how strongly the researchers George Stein 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers