Chris Finlay

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Chris Finlay trusts overall

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

  1. Alex Krizhevsky
  2. Michael F. Hutchinson
  3. Yann LeCun
  4. Haim Avron
  5. Laurent Dinh
  6. T. Chen
  7. Diederik P. Kingma
  8. Geoffrey E. Hinton
  9. Richard Bellman
  10. Cédric Villani

Who trusts Chris Finlay overall

  1. Michael S. Albergo
  2. Jianzhun Du
  3. Derek Onken
  4. Louay Hazami
  5. Jacob Kelly
  6. Shian Du
  7. Benjamin Paul Chamberlain
  8. Samy Wu Fung
  9. Lars Ruthotto
  10. Alexander Tong

Papers from Chris Finlay's perspective

Ordered by how strongly the researchers Chris Finlay trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers