Jie Tan

Artificial Intelligence · Int. J. Robotics Res. · 2016–2023

A researcher in the Science corpus: 14 papers; trusts 359 researchers and is trusted by 123 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Tan trusts overall

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

  1. Sergey Levine
  2. Pieter Abbeel
  3. John Schulman
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Richard S. Sutton
  7. Jan Peters
  8. Alex Krizhevsky
  9. Chelsea Finn
  10. E. Todorov

Who trusts Jie Tan overall

  1. Sergey Levine
  2. Julian Ibarz
  3. Jemin Hwangbo
  4. Tuomas Haarnoja
  5. Chelsea Finn
  6. Atil Iscen
  7. Annie Xie
  8. Yuxiang Yang
  9. Yevgen Chebotar
  10. Ashish Kumar

Papers from Jie Tan's perspective

Ordered by how strongly the researchers Jie Tan 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers