Oguz H. Elibol

Artificial Intelligence · 2002–2021

A researcher in the Science corpus: 5 papers; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oguz H. Elibol trusts overall

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

  1. Yu-An Chung
  2. Shaoshi Ling
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Alexei Baevski
  9. Yann LeCun
  10. Ilya Sutskever

Papers from Oguz H. Elibol's perspective

Ordered by how strongly the researchers Oguz H. Elibol 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers