Gabriel Robins

Artificial Intelligence · 2000–2016

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

Subfields

Whom Gabriel Robins trusts overall

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

  1. L. Eon Bottou
  2. Bernhard Schölkopf
  3. Angelika Steger
  4. Geoffrey E. Hinton
  5. Masashi Sugiyama
  6. Sinno Jialin Pan
  7. John D. Lafferty
  8. Yann LeCun
  9. Yoshua Bengio
  10. Alex Krizhevsky

Who trusts Gabriel Robins overall

  1. Steven S. Skiena
  2. David P. Williamson
  3. Jaroslaw Byrka
  4. Mohamed F. Younis
  5. Errol L. Lloyd
  6. David B. Shmoys
  7. Christos Gkantsidis
  8. Fabrizio Grandoni
  9. Izzet Fatih Senturk
  10. Thomas Rothvoss

Papers from Gabriel Robins's perspective

Ordered by how strongly the researchers Gabriel Robins 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers