Roei Schuster

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 5 papers; trusts 66 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Roei Schuster trusts overall

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

  1. Uri Alon
  2. Tomas Mikolov
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Omer Levy
  9. Yann LeCun
  10. Kaiming He

Who trusts Roei Schuster overall

  1. Nicholas Carlini
  2. Kevin Meng
  3. Yunzhi Yao
  4. Eric Wallace
  5. Hongbin Liu
  6. Daphne Ippolito
  7. Mor Geva
  8. Kevin Wang
  9. Badr AlKhamissi
  10. Damai Dai

Papers from Roei Schuster's perspective

Ordered by how strongly the researchers Roei Schuster 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. 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers