Jiayuan Ye

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiayuan Ye trusts overall

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

  1. Max Welling
  2. Cynthia Dwork
  3. Nicholas Carlini
  4. Milad Nasr
  5. Boris Polyak
  6. Congzheng Song
  7. Matthew Jagielski
  8. Apostolos Pyrgelis
  9. Geoffrey E. Hinton
  10. Reza Shokri

Who trusts Jiayuan Ye overall

  1. Justus Mattern
  2. Matthew Jagielski
  3. Nicholas Carlini

Papers from Jiayuan Ye's perspective

Ordered by how strongly the researchers Jiayuan Ye 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. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  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