Mete Sertkan

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 58 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Mete Sertkan trusts overall

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

  1. Sebastian Hofstätter
  2. Jimmy J. Lin
  3. Tetsuya Sakai
  4. Sheng-Chieh Lin
  5. Stephen E. Robertson
  6. Diederik P. Kingma
  7. Daniel Fernando Campos
  8. Geoffrey E. Hinton
  9. Zhuyun Dai
  10. Nick Craswell

Who trusts Mete Sertkan overall

  1. Sebastian Hofstätter
  2. Sheng-Chieh Lin
  3. Jimmy J. Lin
  4. Wayne Xin Zhao

Papers from Mete Sertkan's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Distilling the Knowledge in a Neural Network (arXiv.org)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers