Christopher R. Aberger

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christopher R. Aberger trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Sergey Ioffe
  4. Kaiming He
  5. Diederik P. Kingma
  6. Joseph E. Gonzalez
  7. Matthieu Latapy
  8. Yoshua Bengio
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Christopher R. Aberger overall

  1. Nikita Kitaev
  2. Mitchell A. Gordon

Papers from Christopher R. Aberger's perspective

Ordered by how strongly the researchers Christopher R. Aberger 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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