Erik Poll

Artificial Intelligence · 2003–2021

A researcher in the Science corpus: 4 papers; trusts 182 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Erik Poll trusts overall

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

  1. Ian J. Goodfellow
  2. Geoffrey E. Hinton
  3. Nicolas Papernot
  4. Nicholas Carlini
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Yann LeCun

Who trusts Erik Poll overall

  1. George Argyros
  2. Suphannee Sivakorn

Papers from Erik Poll's perspective

Ordered by how strongly the researchers Erik Poll 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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