Po-Chun Hsu

Artificial Intelligence · with Lee · 2011–2021

A researcher in the Science corpus: 6 papers; trusts 125 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Po-Chun Hsu trusts overall

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

  1. Diederik P. Kingma
  2. Aäron van den Oord
  3. Geoffrey E. Hinton
  4. Jimmy Ba
  5. Yoshua Bengio
  6. Alex Graves
  7. Alex Krizhevsky
  8. Karen Simonyan
  9. Nal Kalchbrenner
  10. Ilya Sutskever

Who trusts Po-Chun Hsu overall

  1. Xu Tan
  2. Takuma Okamoto
  3. Yu-An Chung
  4. Tao Qin
  5. Momina Masood
  6. Frank K. Soong
  7. Tomoki Toda
  8. Andy T. Liu
  9. Yoshinori Shiga
  10. Tie-Yan Liu

Papers from Po-Chun Hsu's perspective

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

Their papers