Ilya P. Razenshteyn

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 7 papers; trusts 62 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Ilya P. Razenshteyn trusts overall

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

  1. Kenneth L. Clarkson
  2. Nati Srebro
  3. Jelani Nelson
  4. David M. Blei
  5. Xiangrui Meng
  6. Nicolas Gillis
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. David P. Woodruff
  10. Daniel D. Lee

Who trusts Ilya P. Razenshteyn overall

  1. Zhao Song
  2. Kai Zhong
  3. Yury Malkov
  4. Zhun Liu
  5. Tsui-Wei Weng
  6. Huan Zhang
  7. Alexandr Andoni
  8. David P. Woodruff
  9. Yuanzhi Li
  10. Krzysztof Marcin Choromanski

Papers from Ilya P. Razenshteyn's perspective

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

Their papers