Segev Shlomov

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Segev Shlomov trusts overall

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

  1. Alexander S. Yeh
  2. Philipp Koehn
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. K. Erk
  6. John Blitzer
  7. Yftah Ziser
  8. Alex Krizhevsky

Who trusts Segev Shlomov overall

  1. Steven Bethard
  2. Zhiruo Wang
  3. Guy Rotman
  4. David M. Howcroft
  5. Johnny Tian-Zheng Wei
  6. Ryan T. McDonald

Papers from Segev Shlomov's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  8. GloVe: Global Vectors for Word Representation
  9. Gradient-based learning applied to document recognition
  10. Improving Language Understanding by Generative Pre-Training

Their papers