Tim Genewein

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 91 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Tim Genewein trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Kaiming He
  6. Yoshua Bengio
  7. Alex Graves
  8. Ilya Sutskever
  9. Yann LeCun
  10. Yarin Gal

Who trusts Tim Genewein overall

  1. Nicholas Carlini
  2. Mahmood Sharif
  3. Edward Chou
  4. Eric Wong
  5. Dan Hendrycks
  6. Jiajun Lu
  7. Tianyu Pang
  8. Yinpeng Dong
  9. Xingjun Ma
  10. Andrey Malinin

Papers from Tim Genewein's perspective

Ordered by how strongly the researchers Tim Genewein 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  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