Noé Tits

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Noé Tits trusts overall

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

  1. Heiga Zen
  2. Kevin El Haddad
  3. Kei Akuzawa
  4. Hideyuki Tachibana
  5. Aäron van den Oord
  6. Yaniv Taigman
  7. Keiichi Tokuda
  8. Andrew W. Senior
  9. Alan W. Black
  10. Geoffrey E. Hinton

Who trusts Noé Tits overall

  1. Xu Tan
  2. Tao Qin
  3. Kun Zhou

Papers from Noé Tits's perspective

Ordered by how strongly the researchers Noé Tits 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. WaveNet: A Generative Model for Raw Audio
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers