Zeinab Noorian

2015–2017

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Zeinab Noorian trusts overall

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

  1. Brian MacWhinney
  2. James W. Pennebaker
  3. Haibo He
  4. Richard Socher
  5. Daniel Povey
  6. Yang Bai
  7. Ryan L. Boyd
  8. Alex Perelygin
  9. Christopher D. Manning

Papers from Zeinab Noorian's perspective

Ordered by how strongly the researchers Zeinab Noorian 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. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
  8. The Kaldi Speech Recognition Toolkit
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers