Tal Schuster

Artificial Intelligence · 2006–2025

A researcher in the Science corpus: 25 papers; trusts 515 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Tal Schuster trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Kaiming He
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Alex Graves
  8. Yann LeCun
  9. Jacob Devlin
  10. Richard Socher

Who trusts Tal Schuster overall

  1. James Thorne
  2. Adam Fisch
  3. Jonas Adler
  4. Andreas Vlachos
  5. Simon Robert Arridge
  6. Ozan Öktem
  7. Prakhar Gupta
  8. Yi Tay
  9. Luyu Gao
  10. C. Wu

Papers from Tal Schuster's perspective

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