Anastasia Koloskova

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 115 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Anastasia Koloskova trusts overall

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

  1. Sebastian U. Stich
  2. Angelia Nedić
  3. Lin Xiao
  4. Alex Krizhevsky
  5. John C. Duchi
  6. Stephen P. Boyd
  7. Kaiming He
  8. Francis R. Bach
  9. Yurii E. Nesterov
  10. Geoffrey E. Hinton

Who trusts Anastasia Koloskova overall

  1. Jianyu Wang
  2. Navjot Singh
  3. Ahmed Khaled
  4. Deepesh Data
  5. Nicolas Loizou
  6. Aurélien Bellet
  7. Peter Richtárik
  8. Amirhossein Reisizadeh
  9. Anis Elgabli
  10. Xinmeng Huang

Papers from Anastasia Koloskova's perspective

Ordered by how strongly the researchers Anastasia Koloskova 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  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