Jincheng Dai

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jincheng Dai trusts overall

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

  1. Alex Krizhevsky
  2. Gisle Bjøntegaard
  3. E. Arıkan
  4. David Burth Kurka
  5. Johannes Ballé
  6. Mehdi Mirza
  7. Geoffrey E. Hinton
  8. T. Richardson
  9. Diederik P. Kingma
  10. Eirina Bourtsoulatze

Papers from Jincheng Dai's perspective

Ordered by how strongly the researchers Jincheng Dai 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. Learning Multiple Layers of Features from Tiny Images
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers