Geoffrey Cideron

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Geoffrey Cideron trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Tom Schaul
  5. Yoshua Bengio
  6. Yoav Artzi
  7. Diederik P. Kingma
  8. Hado van Hasselt
  9. Alex Krizhevsky
  10. Oriol Vinyals

Who trusts Geoffrey Cideron overall

  1. Alexandre Heuillet
  2. Ted Xiao
  3. Suraj Nair
  4. Vincent Micheli
  5. Fabien Couthouis
  6. Harris Chan

Papers from Geoffrey Cideron's perspective

Ordered by how strongly the researchers Geoffrey Cideron 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers