János Kramár

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom János Kramár trusts overall

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

  1. J. Urgen Schmidhuber
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Richard S. Sutton
  5. Ilya Sutskever
  6. Christian Szegedy
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Alex Graves
  10. Diederik P. Kingma

Who trusts János Kramár overall

  1. Tom Everitt

Papers from János Kramár's perspective

Ordered by how strongly the researchers János Kramár 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. GENERATIVE ADVERSARIAL NETS
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers