Zoltán Szabó

Artificial Intelligence · 2006–2016

A researcher in the Science corpus: 9 papers; trusts 217 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Whom Zoltán Szabó trusts overall

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

  1. Ingo Steinwart
  2. Kenji Fukumizu
  3. Arthur Gretton
  4. Bharath K. Sriperumbudur
  5. Barnab'as P'oczos
  6. Larry A. Wasserman
  7. Bernhard Schölkopf
  8. Michael I. Jordan
  9. Alex Smola
  10. Geoffrey E. Hinton

Who trusts Zoltán Szabó overall

  1. Fatemehsadat Mireshghallah
  2. David Lopez-Paz
  3. Krikamol Muandet
  4. Jan Peters
  5. Bharath K. Sriperumbudur
  6. Lars M. Mescheder
  7. Joris M. Mooij
  8. Weihao Gao
  9. John M. Quilty
  10. Arthur Gretton

Papers from Zoltán Szabó's perspective

Ordered by how strongly the researchers Zoltán Szabó 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  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