Kevin Hsieh

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 205 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Hsieh trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yann LeCun
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Christian Szegedy
  8. Sergey Ioffe
  9. Jimmy Ba
  10. Ross B. Girshick

Who trusts Kevin Hsieh overall

  1. Chaoyang He
  2. Zachary B. Charles
  3. Hong-You Chen
  4. Tiffany Tuor
  5. Tzu-Ming Harry Hsu
  6. Christopher Briggs
  7. Bradley Denby
  8. Sashank J. Reddi
  9. Xiaoxiao Li
  10. Hyeontaek Lim

Papers from Kevin Hsieh's perspective

Ordered by how strongly the researchers Kevin Hsieh 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers