Ali Emami

Natural Language Processing · 2018

A researcher in the Science corpus: 5 papers; trusts 39 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Emami trusts overall

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

  1. Dekang Lin
  2. Altaf Rahman
  3. Christopher D. Manning
  4. Hector J. Levesque
  5. QUAN LIU
  6. Andrew S. Gordon
  7. Karthik Raghunathan
  8. Geoffrey E. Hinton
  9. Peter Schüller
  10. Trieu H. Trinh

Who trusts Ali Emami overall

  1. Keisuke Sakaguchi
  2. Vid Kocijan
  3. Hongming Zhang
  4. Ronan Le Bras
  5. Paul Trichelair
  6. Tassilo Johannes Klein
  7. Oana-Maria Camburu
  8. Chandra Bhagavatula
  9. Ana-Maria Cretu
  10. Adam Trischler

Papers from Ali Emami's perspective

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

Their papers