Evan Lohn

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Evan Lohn trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Laurent Dinh
  4. Yoshua Bengio
  5. Aäron van den Oord
  6. Danilo Jimenez Rezende
  7. Radford M. Neal
  8. Alex Krizhevsky
  9. Max Welling
  10. J. Duda

Who trusts Evan Lohn overall

  1. Shifeng Zhang
  2. Thomas Bird
  3. Siyu Wang
  4. Simon Washington
  5. James Townsend
  6. Rianne van den Berg
  7. Ning Kang

Papers from Evan Lohn's perspective

Ordered by how strongly the researchers Evan Lohn 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers