Yauhen Klimovich

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yauhen Klimovich trusts overall

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

  1. Yash Goyal
  2. Geoffrey E. Hinton
  3. Tomas Mikolov
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Dhruv Batra
  9. Diederik P. Kingma
  10. Ilya Sutskever

Papers from Yauhen Klimovich's perspective

Ordered by how strongly the researchers Yauhen Klimovich 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. Microsoft COCO: Common Objects in Context
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers