Nima Pourdamghani

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nima Pourdamghani trusts overall

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

  1. Philipp Koehn
  2. Guillaume Lample
  3. Jörg Tiedemann
  4. Thanh-Le Ha
  5. Orhan Firat
  6. Yoshua Bengio
  7. Kyunghyun Cho
  8. Rico Sennrich
  9. Geoffrey E. Hinton
  10. Diederik P. Kingma

Papers from Nima Pourdamghani's perspective

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

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

Their papers