Roman Klokov

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 183 researchers and is trusted by 85 researchers here, as inferred from the citation graph.

Subfields

Whom Roman Klokov trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Simon S. Haykin
  5. L. Eon Bottou
  6. Alex Krizhevsky
  7. Charles Ruizhongtai Qi
  8. Dominic Zeng Wang
  9. Evgeniya Ustinova
  10. Kaiming He

Who trusts Roman Klokov overall

  1. Yiru Shen
  2. Yongcheng Liu
  3. Nitika Verma
  4. Chen Liu
  5. Zhiyuan Zhang
  6. Adrien Poulenard
  7. Xin Wei
  8. Truc Le
  9. Chen Feng
  10. Yaoqing Yang

Papers from Roman Klokov's perspective

Ordered by how strongly the researchers Roman Klokov 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers