György Szarvas

Artificial Intelligence · 2008–2017

A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 96 researchers here, as inferred from the citation graph.

Subfields

Whom György Szarvas trusts overall

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

  1. Thorsten Joachims
  2. Jerome H. Friedman
  3. J. Platt
  4. Diederik P. Kingma
  5. David Bamman
  6. Diana McCarthy
  7. Yaroslav Ganin
  8. Aapo Hyvärinen
  9. Geoffrey E. Hinton
  10. Hamed Valizadegan

Who trusts György Szarvas overall

  1. Oren Melamud
  2. Ido Dagan
  3. Marcus Rohrbach
  4. Maite Taboada
  5. Omer Levy
  6. Jia Deng
  7. Yanwei Fu
  8. Jacob Goldberger
  9. Li Fei-Fei
  10. Bernt Schiele

Papers from György Szarvas's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers