Polina Mamoshina

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Polina Mamoshina trusts overall

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

  1. Geoffrey E. Hinton
  2. Johannes Blömer
  3. Alex Krizhevsky
  4. Maxwell W. Libbrecht
  5. Yoshua Bengio
  6. Radford M. Neal
  7. Kaiming He
  8. Yvo Desmedt
  9. Francisco Javier Ordonez
  10. Ilya Sutskever

Who trusts Polina Mamoshina overall

  1. Mohammad Mustafa Taye
  2. David Mhlanga
  3. M. Bakator
  4. Antonio Serrano
  5. Artur Kadurin
  6. Gisbert Schneider
  7. Dragica Radosav
  8. Kit-Kay Mak

Papers from Polina Mamoshina's perspective

Ordered by how strongly the researchers Polina Mamoshina 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. GENERATIVE ADVERSARIAL NETS
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers