Yaron Singer

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 8 papers; trusts 70 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Yaron Singer trusts overall

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

  1. Eric Balkanski
  2. Ron Lavi
  3. George L. Nemhauser
  4. Andreas Krause
  5. Chaitanya Swamy
  6. Matthew Fahrbach
  7. Ethan R. Elenberg
  8. Alex Krizhevsky
  9. David Kempe
  10. Roger B. Myerson

Who trusts Yaron Singer overall

  1. Jesse Vig
  2. Sharon Qian
  3. Dejun Yang
  4. Eric Balkanski
  5. Matthew Fahrbach
  6. Sebastian Gehrmann
  7. Yonatan Belinkov
  8. Guoliang Xue
  9. Vahab S. Mirrokni
  10. Alina Ene

Papers from Yaron Singer's perspective

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

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

Their papers