Erik Gawehn

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Erik Gawehn trusts overall

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

  1. Geoffrey E. Hinton
  2. J. Urgen Schmidhuber
  3. Paul J. Werbos
  4. Yoshua Bengio
  5. Gisbert Schneider
  6. Radford M. Neal
  7. Kunihiko Fukushima
  8. Ruslan Salakhutdinov
  9. Yann LeCun
  10. Sepp Hochreiter

Who trusts Erik Gawehn overall

  1. Garrett B. Goh
  2. Charles Siegel
  3. Abhinav Vishnu
  4. Nathan Oken Hodas
  5. Mengying Sun
  6. Antonio Serrano
  7. Maryam Bagherian
  8. G. Handelman
  9. Sergey I. Nikolenko
  10. Gisbert Schneider

Papers from Erik Gawehn's perspective

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

Their papers