Ákos Kádár

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 516 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Ákos Kádár trusts overall

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

  1. Karen Simonyan
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Andrew Zisserman
  7. Kyunghyun Cho
  8. Dzmitry Bahdanau
  9. Diederik P. Kingma
  10. Kaiming He

Who trusts Ákos Kádár overall

  1. Yonatan Belinkov
  2. Grzegorz Chrupała
  3. Lieke Gelderloos
  4. Prithviraj Ammanabrolu
  5. Malika Aubakirova
  6. Allyson Ettinger
  7. William N. Havard
  8. Alexis Conneau
  9. Mengnan Du
  10. Mohit Bansal

Papers from Ákos Kádár's perspective

Ordered by how strongly the researchers Ákos Kádár 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers