Nadia Burkart

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 240 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Nadia Burkart trusts overall

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

  1. Cynthia Rudin
  2. Geoffrey E. Hinton
  3. Been Kim
  4. David Martens
  5. Berk Ustun
  6. Yoshua Bengio
  7. Jerome H. Friedman
  8. Marco Tulio Ribeiro
  9. Alex Krizhevsky
  10. Alex Alves Freitas

Who trusts Nadia Burkart overall

  1. Gesina Schwalbe
  2. Plamen Parvanov Angelov
  3. Sarah Wiegreffe
  4. Meike Nauta
  5. Bettina Finzel
  6. Eduardo Almeida Soares
  7. Ana Marasovic
  8. Waddah Saeed
  9. Jan Trienes

Papers from Nadia Burkart's perspective

Ordered by how strongly the researchers Nadia Burkart 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers