András György

Artificial Intelligence · 2005–2019

A researcher in the Science corpus: 11 papers; trusts 56 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom András György trusts overall

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

  1. Mark Herbster
  2. Manfred K. Warmuth
  3. Nicolò Cesa-Bianchi
  4. Martin A. Zinkevich
  5. James C. Spall
  6. Frank Hutter
  7. Sébastien Bubeck
  8. Elad Hazan
  9. Gábor Lugosi
  10. Amir Beck

Who trusts András György overall

  1. Eric C. Hall
  2. Tor Lattimore
  3. Yawei Zhao
  4. Lisha Li
  5. Csaba Szepesvari
  6. Kevin G. Jamieson
  7. Rebecca M. Willett
  8. Wendi Wu
  9. Yawei Zhao
  10. Lijun Zhang

Papers from András György's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  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