Daniel Flam-Shepherd

2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Daniel Flam-Shepherd trusts overall

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

  1. Diederik P. Kingma
  2. Danilo Jimenez Rezende
  3. Rajesh Ranganath
  4. Charles Blundell
  5. Jimmy Ba
  6. Daan Wierstra
  7. Shakir Mohamed
  8. Dustin Tran
  9. Geoffrey E. Hinton
  10. David M. Blei

Who trusts Daniel Flam-Shepherd overall

  1. Chao Ma
  2. Guodong Zhang
  3. Jiaxin Shi
  4. Yingzhen Li
  5. Danijar Hafner
  6. Roger Baker Grosse
  7. José Miguel Hernández-Lobato

Papers from Daniel Flam-Shepherd's perspective

Ordered by how strongly the researchers Daniel Flam-Shepherd trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers