Bayan Saparbayeva

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bayan Saparbayeva trusts overall

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

  1. B. Recht
  2. Rabi N. Bhattacharya
  3. Michael I. Jordan
  4. Ohad Shamir
  5. Lisandro Dalcin
  6. Jason D. Lee
  7. Nati Srebro
  8. Christopher R'e
  9. Vic Patrangenaru
  10. John C. Duchi

Papers from Bayan Saparbayeva's perspective

Ordered by how strongly the researchers Bayan Saparbayeva 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  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