Yuval Pinter

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 84 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

Whom Yuval Pinter trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Richard Socher
  5. Sepp Hochreiter
  6. Ilya Sutskever
  7. Ronald J. Williams
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Dzmitry Bahdanau

Who trusts Yuval Pinter overall

  1. Timo Schick
  2. Sarah Wiegreffe
  3. Ana Marasovic
  4. Alon Jacovi
  5. Hinrich Schütze
  6. Van-Hoang Le
  7. Xiaochuang Han
  8. Ivan Provilkov
  9. Dheeraj Rajagopal
  10. Martin Tutek

Papers from Yuval Pinter's perspective

Ordered by how strongly the researchers Yuval Pinter trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers