Josiah Yan

Artificial Intelligence · 2016

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Josiah Yan trusts overall

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

  1. Matthias W. Seeger
  2. Tom Minka
  3. Neil D. Lawrence
  4. James Hensman
  5. Manfred Opper
  6. Lehel Csató
  7. Michalis K. Titsias
  8. Carl E. Rasmussen
  9. Joaquin Quiñonero Candela
  10. Diederik P. Kingma

Who trusts Josiah Yan overall

  1. Thang D. Bui
  2. Sanyam Kapoor
  3. Pablo Moreno-Muñoz
  4. Matthias Bauer
  5. Haitao Liu
  6. Michalis K. Titsias
  7. Theofanis Karaletsos

Papers from Josiah Yan's perspective

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

Their papers