Tomer Koren

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 8 papers; trusts 81 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Tomer Koren trusts overall

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

  1. Shai Shalev-Shwartz
  2. Elad Hazan
  3. Nicolò Cesa-Bianchi
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Martin A. Zinkevich
  7. Geoffrey E. Hinton
  8. Peter Auer
  9. John C. Duchi
  10. Sébastien Bubeck

Who trusts Tomer Koren overall

  1. Kevin G. Jamieson
  2. Lisha Li
  3. Liam Li
  4. Rohan Anil
  5. Tor Lattimore
  6. Ameet Talwalkar
  7. Li Yang
  8. Chen Chen
  9. Etai Littwin
  10. Hongseok Namkoong

Papers from Tomer Koren's perspective

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

Their papers