Jörg Bornschein

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 6 papers; trusts 182 researchers and is trusted by 508 researchers here, as inferred from the citation graph.

Subfields

Whom Jörg Bornschein trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ruslan Salakhutdinov
  5. Radford M. Neal
  6. Hugo Larochelle
  7. Danilo Jimenez Rezende
  8. Andriy Mnih
  9. Iain Murray
  10. Alex Krizhevsky

Who trusts Jörg Bornschein overall

  1. Yoshua Bengio
  2. Ruslan Salakhutdinov
  3. Shixiang Shane Gu
  4. Andriy Mnih
  5. Kyunghyun Cho
  6. Jason Tyler Rolfe
  7. Philip Bachman
  8. Sergey Levine
  9. R. Devon Hjelm
  10. Arash Vahdat

Papers from Jörg Bornschein's perspective

Ordered by how strongly the researchers Jörg Bornschein 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers