Sarik Ghazarian

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 39 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sarik Ghazarian trusts overall

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

  1. Diederik P. Kingma
  2. Alec Radford
  3. Yoshua Bengio
  4. Ryan J. Lowe
  5. Jacob Devlin
  6. Geoffrey E. Hinton
  7. Chin-Yew Lin
  8. Chongyang Tao
  9. Dzmitry Bahdanau
  10. Ilya Sutskever

Who trusts Sarik Ghazarian overall

  1. Jian Guan
  2. Ananya B. Sai
  3. Yi-Ting Yeh
  4. Jinlan Fu
  5. Haolan Zhan
  6. Yi Chen
  7. Chen Zhang
  8. Jiazhan Feng
  9. Minlie Huang
  10. Akash Kumar Mohankumar

Papers from Sarik Ghazarian's perspective

Ordered by how strongly the researchers Sarik Ghazarian 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. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers