Lyudmila S. Mihaylova

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 100 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lyudmila S. Mihaylova trusts overall

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

  1. David G. Lowe
  2. Radford M. Neal
  3. Manfred Opper
  4. Geoffrey E. Hinton
  5. Gareth Blake Loy
  6. Duy Nguyen-Tuong
  7. Zoubin Ghahramani
  8. Navneet Dalal
  9. Mohan Manubhai Trivedi
  10. Alex Krizhevsky

Papers from Lyudmila S. Mihaylova's perspective

Ordered by how strongly the researchers Lyudmila S. Mihaylova 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. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers