Bin Shi

Artificial Intelligence · with Jordan · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Shi trusts overall

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

  1. Alex Krizhevsky
  2. Yurii E. Nesterov
  3. L. Eon Bottou
  4. Kaiming He
  5. Cédric Villani
  6. Yoshua Bengio
  7. Pratik Chaudhari
  8. Geoffrey E. Hinton
  9. Michael I. Jordan
  10. Leslie N. Smith

Who trusts Bin Shi overall

  1. Hédy Attouch
  2. Radu Ioan Bot

Papers from Bin Shi's perspective

Ordered by how strongly the researchers Bin Shi 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  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