Tao Sun

Artificial Intelligence · with Yin · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Sun trusts overall

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

  1. Shlomo Hoory
  2. Shai Shalev-Shwartz
  3. Yurii E. Nesterov
  4. Geoffrey E. Hinton
  5. B. Recht
  6. Yann LeCun
  7. Sashank J. Reddi
  8. Alex Krizhevsky
  9. L. Eon Bottou
  10. Wotao Yin

Who trusts Tao Sun overall

  1. Dmitry Grishchenko
  2. Franck Iutzeler
  3. Jérôme Malick
  4. Jihong Park
  5. Mingzhe Chen
  6. Massih-Reza Amini
  7. Anis Elgabli
  8. Mohammad Mohammadi Amiri
  9. Deniz Gündüz
  10. Tomer Sery

Papers from Tao Sun's perspective

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