Leshem Choshen

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 5 papers; trusts 231 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Leshem Choshen trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. Ronald J. Williams
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. J. Urgen Schmidhuber
  10. Andrew Barto

Who trusts Leshem Choshen overall

  1. Wei Xiong
  2. Hanze Dong
  3. Romain Laroche
  4. Samuel Kiegeland
  5. Thiago D. Simão
  6. Kimia Nadjahi
  7. Julia Kreutzer
  8. Han Guo
  9. Subhajit Naskar
  10. Rémi Tachet des Combes

Papers from Leshem Choshen's perspective

Ordered by how strongly the researchers Leshem Choshen 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. ImageNet classification with deep convolutional neural networks
  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