Olexa Bilaniuk

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 68 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Olexa Bilaniuk trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Jan Peters
  6. Sepp Hochreiter
  7. J. Urgen Schmidhuber
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Ronald J. Williams

Who trusts Olexa Bilaniuk overall

  1. Anirudh Goyal
  2. Yoshua Bengio
  3. Bernhard Schölkopf
  4. Nan Rosemary Ke
  5. Titouan Parcollet
  6. Francesco Locatello
  7. Chase J. Gaudet

Papers from Olexa Bilaniuk's perspective

Ordered by how strongly the researchers Olexa Bilaniuk 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers