Marco Willi

Methods in Ecology and Evolution · 2010–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Marco Willi trusts overall

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

  1. Alex Krizhevsky
  2. Xavier Glorot
  3. Yann LeCun
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Ilya Sutskever
  7. Alexander Gómez-Villa
  8. Yarin Gal
  9. A. Swanson
  10. Olga Russakovsky

Papers from Marco Willi's perspective

Ordered by how strongly the researchers Marco Willi 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. ImageNet Large Scale Visual Recognition Challenge
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers