Yaniv Romano

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 257 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Yaniv Romano trusts overall

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

  1. Vladimir G Vovk
  2. Jing Lei
  3. Michael Elad
  4. Stéphane Mallat
  5. Nicolai Meinshausen
  6. Diederik P. Kingma
  7. E.J. Candes
  8. Geoffrey E. Hinton
  9. A. Gammerman
  10. Harris Papadopoulos

Who trusts Yaniv Romano overall

  1. E.J. Candes
  2. Anastasios Nikolas Angelopoulos
  3. Isaac Gibbs
  4. Maxime Cauchois
  5. Kai Zhang
  6. Matteo Sesia
  7. Stephen Bates
  8. Lihua Lei
  9. Leying Guan
  10. Saeed Anwar

Papers from Yaniv Romano's perspective

Ordered by how strongly the researchers Yaniv Romano 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers