Nan Ye

Artificial Intelligence · 2012–2015

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nan Ye trusts overall

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

  1. Thorsten Joachims
  2. Vladimir Naumovich Vapni
  3. Yiming Yang
  4. Trey Smith
  5. Andrew Y. Ng
  6. David Haussler
  7. Ioannis Tsochantaridis
  8. David Silver
  9. Hal Daumé Iii
  10. Dimitri P. Bertsekas

Who trusts Nan Ye overall

  1. Harikrishna Narasimhan
  2. Macheng Shen
  3. Azim Eskandarian
  4. Adam Eck
  5. Harish Guruprasad Ramaswamy
  6. Caelan Reed Garrett
  7. Sanjiban Choudhury

Papers from Nan Ye's perspective

Ordered by how strongly the researchers Nan Ye trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers