Viktor Hangya

Natural Language Processing · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 93 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Viktor Hangya trusts overall

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

  1. Philipp Koehn
  2. Mikel Artetxe
  3. Yoshua Bengio
  4. Tomas Mikolov
  5. Alexis Conneau
  6. Guillaume Lample
  7. Dzmitry Bahdanau
  8. Geoffrey E. Hinton
  9. Piotr Bojanowski
  10. Rico Sennrich

Who trusts Viktor Hangya overall

  1. Dana Ruiter
  2. Chau Tran
  3. Surangika Ranathunga
  4. Philipp Koehn
  5. Josef van Genabith
  6. Yuqing Tang
  7. E. Lee
  8. Cristina España-Bonet
  9. Boliang Zhang
  10. Xian Li

Papers from Viktor Hangya's perspective

Ordered by how strongly the researchers Viktor Hangya 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers