Gergo Orbán

Artificial Intelligence · 2008–2016

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Gergo Orbán trusts overall

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

  1. David John Cameron MacKay
  2. Josh Tenenbaum
  3. T. Griffiths
  4. Fei Xu
  5. Geoffrey E. Hinton
  6. József Fiser
  7. Radford M. Neal
  8. David E. Rumelhart
  9. Jiri Najemnik
  10. Richard N. Aslin

Who trusts Gergo Orbán overall

  1. Nikolaus Kriegeskorte
  2. Laurence Aitchison

Papers from Gergo Orbán's perspective

Ordered by how strongly the researchers Gergo Orbán 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers