Georgios Exarchakis

Materials Chemistry · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Georgios Exarchakis trusts overall

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

  1. Stéphane Mallat
  2. Diederik P. Kingma
  3. Matthias Rupp 
  4. Grgoire Montavon
  5. Laurent Sifre
  6. Matthew J. Hirn
  7. Roland Memisevic
  8. Jimmy Ba
  9. Geoffrey E. Hinton
  10. Alexandre Tkatchenko

Papers from Georgios Exarchakis's perspective

Ordered by how strongly the researchers Georgios Exarchakis trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers