Sébastien Gambs

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sébastien Gambs trusts overall

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

  1. Cynthia Dwork
  2. Ivan Bjerre Damgård
  3. Frank McSherry
  4. Toon Calders
  5. Yu Zheng
  6. Alexandra Chouldechova
  7. Moritz Hardt
  8. Cynthia Rudin
  9. Takashi Nishide
  10. Niko Speybroeck

Who trusts Sébastien Gambs overall

  1. Wesley Mathew
  2. Yanjun Huang
  3. Ruben Raposo
  4. Gilles Barthe
  5. Jiatong Du

Papers from Sébastien Gambs's perspective

Ordered by how strongly the researchers Sébastien Gambs 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers