Petro Liashchynskyi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Petro Liashchynskyi trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. X. Zhang
  4. Shaoqing Ren
  5. Jimmy Ba
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Karen Simonyan
  9. Christian Szegedy
  10. Yoshua Bengio

Papers from Petro Liashchynskyi's perspective

Ordered by how strongly the researchers Petro Liashchynskyi 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers