Eric Christiansen

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 52 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Christiansen trusts overall

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

  1. Frank Hutter
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Kaiming He
  7. Ilya Sutskever
  8. Aaron Klein
  9. James Bergstra
  10. Jasper Snoek

Who trusts Eric Christiansen overall

  1. Colin White
  2. Xuanyi Dong
  3. Linnan Wang
  4. Frank Hutter

Papers from Eric Christiansen's perspective

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

Their papers