Pierre-Louis Giscard

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre-Louis Giscard trusts overall

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

  1. Kristen Grauman
  2. Chih-Jen Lin
  3. Karsten M. Borgwardt
  4. Trevor Darrell
  5. Holger Fröhlich
  6. Nino Shervashidze
  7. Andrew Zisserman
  8. Geoffrey E. Hinton
  9. David Haussler
  10. Alex Krizhevsky

Who trusts Pierre-Louis Giscard overall

  1. Christopher Morris
  2. Aynaz Taheri
  3. Risi Kondor
  4. Titouan Vayer
  5. Rex Ying
  6. Yujun Yan

Papers from Pierre-Louis Giscard's perspective

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

Their papers