Wen Sun

Artificial Intelligence · with Bagnell · 2015–2021

A researcher in the Science corpus: 12 papers; trusts 354 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Wen Sun trusts overall

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

  1. Sham M. Kakade
  2. Stéphane Ross
  3. J. Bagnell
  4. Pieter Abbeel
  5. Ronald J. Williams
  6. Richard S. Sutton
  7. Geoffrey E. Hinton
  8. Andrew Y. Ng
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Wen Sun overall

  1. Ching-An Cheng
  2. Byron Boots
  3. Nicholas Rhinehart
  4. Sara Sabour
  5. J. Bagnell
  6. Aravind Rajeswaran
  7. Sergey Levine
  8. Xinyan Yan
  9. Alekh Agarwal
  10. Huazhe Xu

Papers from Wen Sun's perspective

Ordered by how strongly the researchers Wen Sun 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers