Tao Shen

Molecular Biology · with Li · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Shen trusts overall

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

  1. Yang Zhang
  2. Diederik P. Kingma
  3. Yang Song
  4. Geoffrey E. Hinton
  5. Jimmy Ba
  6. Max Welling
  7. Jeffrey Skolnick
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. Valerio Mariani

Who trusts Tao Shen overall

  1. K. Chen

Papers from Tao Shen's perspective

Ordered by how strongly the researchers Tao Shen 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers