Bojian Yin

Artificial Intelligence · 2021

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 Bojian Yin trusts overall

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

  1. Wulfram Gerstner
  2. Pete Warden
  3. Mark A. Horowitz
  4. Friedemann Zenke
  5. Sepp Hochreiter
  6. Paul J. Werbos

Who trusts Bojian Yin overall

  1. Man Yao
  2. Mingqing Xiao
  3. Qingyan Meng

Papers from Bojian Yin's perspective

Ordered by how strongly the researchers Bojian Yin 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers