Yurii Rebryk

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yurii Rebryk trusts overall

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

  1. Heiga Zen
  2. Paul Taylor
  3. Kainan Peng
  4. Wei Ping
  5. Sercan Ö. Arik
  6. Andrew Gibiansky
  7. Ryan J. Prenger
  8. Ashish Vaswani
  9. Yaniv Taigman
  10. Geoffrey E. Hinton

Who trusts Yurii Rebryk overall

  1. Zhaoxi Mu
  2. Xu Tan
  3. Jonathan Shen

Papers from Yurii Rebryk's perspective

Ordered by how strongly the researchers Yurii Rebryk trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers