Geoffrey French

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Geoffrey French trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Sergey Ioffe
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Lutz Prechelt
  8. Yoshua Bengio
  9. Jimmy Ba
  10. Shaoqing Ren

Who trusts Geoffrey French overall

  1. Xingchao Peng
  2. Geoff French
  3. Ben Athiwaratkun
  4. Garrett Wilson
  5. Luke Melas-Kyriazi
  6. Jinhong Deng
  7. Yassine Ouali
  8. Jaehoon Choi
  9. Fengchun Qiao
  10. Zhijie Deng

Papers from Geoffrey French's perspective

Ordered by how strongly the researchers Geoffrey French 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers