Mikhail Zaslavskiy

Artificial Intelligence · 2008–2020

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Mikhail Zaslavskiy trusts overall

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

  1. Dimitri P. Bertsekas
  2. Diederik P. Kingma
  3. Greg Ridgeway
  4. Yann LeCun
  5. Bharath Ramsundar
  6. Serge J. Belongie
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Tianqi Chen
  10. Jimmy Ba

Who trusts Mikhail Zaslavskiy overall

  1. Feng Zhou
  2. Xingyu Jiang
  3. Jiayi Ma
  4. Elad Hazan
  5. Guillaume Seguin
  6. Kristian Kersting
  7. Jie Chen
  8. Michel Journée
  9. Zaccary Alperstein
  10. Katsuhiko Ishiguro

Papers from Mikhail Zaslavskiy's perspective

Ordered by how strongly the researchers Mikhail Zaslavskiy 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. 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers