Allen Nie

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 139 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Allen Nie trusts overall

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

  1. Alex Graves
  2. Samuel R. Bowman
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Ruslan Salakhutdinov
  9. Ryan Kiros
  10. Yann LeCun

Who trusts Allen Nie overall

  1. Alex Wang
  2. Grzegorz Chrupała
  3. E. Voloshina
  4. Najoung Kim
  5. Damien Sileo
  6. Arman Cohan
  7. Zhongyang Li
  8. Samuel R. Bowman
  9. Afra Alishahi
  10. Oleg Serikov

Papers from Allen Nie's perspective

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

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

Their papers