Parnia Bahar

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 100 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Parnia Bahar trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Dzmitry Bahdanau
  5. Ilya Sutskever
  6. Jimmy Ba
  7. Alex Graves
  8. Alex Krizhevsky
  9. Oriol Vinyals
  10. Kyunghyun Cho

Who trusts Parnia Bahar overall

  1. Jinyu Li
  2. Hirofumi Inaguma
  3. Xian Li
  4. Yun Tang
  5. Changhan Wang
  6. Zixuan Ke
  7. Shun Kiyono

Papers from Parnia Bahar's perspective

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

Their papers