Helen Yannakoudakis

Artificial Intelligence · 2011–2020

A researcher in the Science corpus: 7 papers; trusts 221 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Helen Yannakoudakis trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Graves
  5. Sepp Hochreiter
  6. Tomas Mikolov
  7. Alex Krizhevsky
  8. Vladimir Naumovich Vapni
  9. J. Urgen Schmidhuber
  10. Ilya Sutskever

Who trusts Helen Yannakoudakis overall

  1. Marek Rei
  2. Hwee Tou Ng
  3. Tao Ge
  4. Yvette Graham
  5. Christopher Bryant
  6. Joel R. Tetreault
  7. Felix Stahlberg
  8. Max White
  9. Mariano Felice
  10. Xin Sun

Papers from Helen Yannakoudakis's perspective

Ordered by how strongly the researchers Helen Yannakoudakis 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers