Aria Haghighi

Natural Language Processing · 2005–2011

A researcher in the Science corpus: 6 papers; trusts 42 researchers and is trusted by 109 researchers here, as inferred from the citation graph.

Subfields

Whom Aria Haghighi trusts overall

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

  1. Michael Collins
  2. Daniel Klein
  3. David M. Blei
  4. Chin-Yew Lin
  5. Dekang Lin
  6. Christopher D. Manning
  7. Rion Snow
  8. Ryan T. McDonald
  9. Marti A. Hearst
  10. Andrew Y. Ng

Who trusts Aria Haghighi overall

  1. Kristjan Arumae
  2. Ani Nenkova
  3. Mohit Bansal
  4. Karl Moritz Hermann
  5. Greg Durrett
  6. Kai Hong
  7. Junlin Yang
  8. Daniel Klein
  9. Richard Socher
  10. Maxime Peyrard

Papers from Aria Haghighi's perspective

Ordered by how strongly the researchers Aria Haghighi 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. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers