Tobias Gruber

Model Architectures · with Brink · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tobias Gruber trusts overall

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

  1. E. Arıkan
  2. Diederik P. Kingma
  3. David E. Rumelhart
  4. Yann LeCun
  5. Eliya Nachmani
  6. Geoffrey E. Hinton
  7. Max Jaderberg
  8. Jimmy Ba
  9. Karen Simonyan
  10. Yoshua Bengio

Who trusts Tobias Gruber overall

  1. Osvaldo Simeone
  2. Paul de Kerret
  3. Muhammad Basit Shahab
  4. Tianqi Wang
  5. David Gesbert
  6. Rana Abbas

Papers from Tobias Gruber's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  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. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers