Joseph Suarez

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Suarez trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Sepp Hochreiter
  4. Geoffrey E. Hinton
  5. J. Urgen Schmidhuber
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Jimmy Ba
  9. Justin Johnson
  10. Ross B. Girshick

Who trusts Joseph Suarez overall

  1. David R Ha
  2. J. Urgen Schmidhuber
  3. Benjamin Ehret
  4. Sebastian Flennerhag
  5. Ben Zion Vatashsky
  6. Justin Johnson
  7. Christian Henning
  8. Li Fei-Fei
  9. Pablo Hernandez-Leal
  10. Jiayuan Mao

Papers from Joseph Suarez's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers