Evan Archer

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Evan Archer trusts overall

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

  1. Diederik P. Kingma
  2. Danilo Jimenez Rezende
  3. Matthew D. Zeiler
  4. Shakir Mohamed
  5. Radford M. Neal
  6. Geoffrey E. Hinton
  7. Max Welling
  8. Yoshua Bengio
  9. Michalis K. Titsias
  10. Alex Krizhevsky

Who trusts Evan Archer overall

  1. Linda S. L. Tan
  2. Marco Fraccaro
  3. Matthew J. Johnson
  4. Yuanjun Gao
  5. C. A. Naesseth
  6. Guy Revach
  7. Saurabh Saxena
  8. Scott W. Linderman
  9. David J. Nott
  10. John P. Cunningham

Papers from Evan Archer's perspective

Ordered by how strongly the researchers Evan Archer 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers