Kevin Tian

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Tian trusts overall

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

  1. Shai Shalev-Shwartz
  2. Gregory Valiant
  3. Yurii E. Nesterov
  4. Paul Valiant
  5. Tong Zhang
  6. Len P. Bos
  7. Arkadi Nemirovski
  8. Zeyuan Allen-Zhu
  9. Lin Xiao
  10. Francis R. Bach

Who trusts Kevin Tian overall

  1. Mingda Qiao

Papers from Kevin Tian's perspective

Ordered by how strongly the researchers Kevin Tian 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. GENERATIVE ADVERSARIAL NETS
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  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