Stefan Heil

1996

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Whom Stefan Heil trusts overall

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

  1. J. Urgen Schmidhuber
  2. Paul J. Werbos
  3. David E. Rumelhart
  4. Geoffrey E. Hinton
  5. Ronald J. Williams
  6. Michael C. Mozer
  7. Richard S. Sutton
  8. Alex Graves
  9. Radford M. Neal
  10. Sepp Hochreiter

Who trusts Stefan Heil overall

  1. J. Urgen Schmidhuber
  2. Yoshua Bengio
  3. Matthew V. Mahoney
  4. Jianmin Jiang
  5. Kenton Murray
  6. Sergey Levine
  7. Quoc V. Le
  8. Mohit Bansal
  9. Trevor Darrell
  10. Kyunghyun Cho

Papers from Stefan Heil's perspective

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

Their papers