Bénard Wiese

2009

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Bénard Wiese trusts overall

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

  1. Chih-Jen Lin
  2. Felix Alexander Gers
  3. Corinna Cortes
  4. J. Urgen Schmidhuber
  5. Chih-Wei Hsu
  6. Sepp Hochreiter
  7. Vladimir Naumovich Vapnik
  8. C. Burges
  9. Bernhard E. Boser
  10. Ronald J. Williams

Who trusts Bénard Wiese overall

  1. Narek Abroyan
  2. Yaya Heryadi

Papers from Bénard Wiese's perspective

Ordered by how strongly the researchers Bénard Wiese trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Support-Vector Networks
  9. Going deeper with convolutions
  10. A training algorithm for optimal margin classifiers

Their papers