Wei Shen

Artificial Intelligence · with Dou · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Shen trusts overall

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

  1. Geoffrey E. Hinton
  2. John Schulman
  3. He He
  4. Yoshua Bengio
  5. Daniel M. Ziegler
  6. Alec Radford
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Jared Kaplan
  10. Yann LeCun

Who trusts Wei Shen overall

  1. Jiwoo Hong
  2. Yann Dubois
  3. Lichang Chen

Papers from Wei Shen's perspective

Ordered by how strongly the researchers Wei 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers