Alisa Liu

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 7 papers; trusts 153 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Alisa Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Richard Socher
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Kaiming He
  9. Alec Radford
  10. Alex Graves

Who trusts Alisa Liu overall

  1. Sachin Kumar
  2. Emily Sheng
  3. Ximing Lu
  4. Hao Sun
  5. Sean Welleck
  6. Kai-Wei Chang
  7. Jaehun Jung
  8. Yu Meng
  9. Or Honovich
  10. Swarnadeep Saha

Papers from Alisa Liu's perspective

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

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

Their papers