Ian En-Hsu Yen

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 50 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Ian En-Hsu Yen trusts overall

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

  1. Shai Shalev-Shwartz
  2. Simon Lacoste-Julien
  3. Yurii E. Nesterov
  4. Alex Krizhevsky
  5. Martin Jaggi
  6. Mingyi Hong
  7. B. Taskar
  8. Peter Richtárik
  9. Thorsten Joachims
  10. Geoffrey E. Hinton

Who trusts Ian En-Hsu Yen overall

  1. Gauthier Gidel
  2. Fabian Pedregosa
  3. Sercan Ö. Arik
  4. Simon Lacoste-Julien
  5. Xiangru Huang
  6. Virginia Smith
  7. Chih-Kuan Yeh
  8. Tomas Pfister
  9. Karthikeyan K

Papers from Ian En-Hsu Yen's perspective

Ordered by how strongly the researchers Ian En-Hsu Yen 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. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  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