Uriel Singer

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 5 papers; trusts 201 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Uriel Singer trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Jonathan Ho
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Yann LeCun
  9. Jimmy Ba
  10. Ross B. Girshick

Who trusts Uriel Singer overall

  1. Andreas Blattmann
  2. Lijun Yu
  3. Patrick Esser
  4. Axel Sauer
  5. Chenshuang Zhang
  6. Xiaodong Cun
  7. Alex Nichol
  8. Tim Dockhorn
  9. Emiel Hoogeboom
  10. Duygu Ceylan

Papers from Uriel Singer's perspective

Ordered by how strongly the researchers Uriel Singer 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. GENERATIVE ADVERSARIAL NETS

Their papers