Kyle Reing

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle Reing trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. David M. Blei
  6. T. Landauer
  7. Yoshua Bengio
  8. Sanjeev Arora
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Kyle Reing overall

  1. Shuyang Gao
  2. Daniel Moyer
  3. Roman Egger
  4. Rob Brekelmans
  5. Pengfei Chen

Papers from Kyle Reing's perspective

Ordered by how strongly the researchers Kyle Reing 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  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