Kevin Lyman

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Lyman trusts overall

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

  1. Alex Krizhevsky
  2. Sepp Hochreiter
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Sergey Ioffe
  7. J. Urgen Schmidhuber
  8. Kaiming He
  9. Ilya Sutskever
  10. Alex Graves

Who trusts Kevin Lyman overall

  1. Michael Maire
  2. Gregory Shakhnarovich
  3. Gustav Larsson

Papers from Kevin Lyman's perspective

Ordered by how strongly the researchers Kevin Lyman 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers