Gábor Bartók

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gábor Bartók trusts overall

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

  1. Avrim Blum
  2. Jean-Yves Audibert
  3. Peter Auer
  4. Diederik P. Kingma
  5. Barret Zoph
  6. Geoffrey E. Hinton
  7. Quoc V. Le
  8. Ronald J. Williams
  9. Kaiming He
  10. Nicolò Cesa-Bianchi

Who trusts Gábor Bartók overall

  1. Kamyar Azizzadenesheli
  2. Aleksandrs Slivkins
  3. Ohad Shamir
  4. Tor Lattimore

Papers from Gábor Bartók's perspective

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

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

Their papers