Nabil Hossain

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nabil Hossain trusts overall

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

  1. Diederik P. Kingma
  2. Jason Aaron Edward Weston
  3. Rico Sennrich
  4. Jimmy Ba
  5. Bram Bulté
  6. Geoffrey E. Hinton
  7. Ashish Vaswani
  8. Yoshua Bengio
  9. Alexander M. Rush
  10. Kai Wang

Who trusts Nabil Hossain overall

  1. Mihir Kale
  2. Ziqi Zhang
  3. Abhinav Rastogi
  4. Zhongang Qi

Papers from Nabil Hossain's perspective

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

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

Their papers