Benjamin Riedel

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Riedel trusts overall

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

  1. George V. Cybenko
  2. Karen Spärck Jones
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Razvan Pascanu
  6. Nitish Srivastava
  7. Sanjeev Arora
  8. Yoshua Bengio
  9. Jimmy Ba
  10. Alex Krizhevsky

Who trusts Benjamin Riedel overall

  1. James Thorne
  2. Wenpeng Yin
  3. Monther Aldwairi
  4. Andreas Vlachos
  5. Iftikhar Ahmad
  6. Ramy Baly
  7. James Thorne
  8. Dan Roth
  9. Ali Alwahedi
  10. Muhammad Nadeem Yousaf

Papers from Benjamin Riedel's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers