Alice Lai

Natural Language Processing · with Hockenmaier · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 1,583 researchers here, as inferred from the citation graph.

Subfields

Whom Alice Lai trusts overall

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

  1. Peter Young
  2. Diederik P. Kingma
  3. Micah Hodosh
  4. Sepp Hochreiter
  5. Joakim Nivre
  6. Richard Socher
  7. Eneko Agirre
  8. Jeffrey Pennington
  9. Geoffrey E. Hinton
  10. Marco Marelli

Who trusts Alice Lai overall

  1. Ramakanth Pasunuru
  2. Mohit Bansal
  3. Zhe Gan
  4. Samuel R. Bowman
  5. Qi Wu
  6. Wenpeng Yin
  7. Liwei Wang
  8. Micah Hodosh
  9. Jianfeng Wang
  10. Jiasen Lu

Papers from Alice Lai's perspective

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

Their papers