Shang-Tse Chen

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Shang-Tse Chen trusts overall

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

  1. Christian Szegedy
  2. Alex Krizhevsky
  3. Ian J. Goodfellow
  4. Geoffrey E. Hinton
  5. Nicholas Carlini
  6. Nicolas Papernot
  7. Kaiming He
  8. Shaoqing Ren
  9. Joseph Redmon
  10. Ilya Sutskever

Who trusts Shang-Tse Chen overall

  1. Yulong Cao
  2. Naveed Akhtar

Papers from Shang-Tse Chen's perspective

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

Their papers