R. Cornish

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 100 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom R. Cornish trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Danilo Jimenez Rezende
  6. Yann LeCun
  7. Yoshua Bengio
  8. Aäron van den Oord
  9. Laurent Dinh
  10. Jimmy Ba

Who trusts R. Cornish overall

  1. Tom Rainforth
  2. Chris Cundy
  3. Xuanyi Dong
  4. Jerry Ma
  5. Yann Dauphin
  6. Yulia Tsvetkov
  7. Aditya Grover
  8. Leonard Berrada
  9. Harkirat Singh Behl
  10. Gunshi Gupta

Papers from R. Cornish's perspective

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

Their papers