Vivian Lai

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 71 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Vivian Lai trusts overall

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

  1. Marco Tulio Ribeiro
  2. Ben Green
  3. Himabindu Lakkaraju
  4. Been Kim
  5. Sameer Singh
  6. Tao Lei
  7. Geoffrey E. Hinton
  8. Myle Ott
  9. Scott M. Lundberg
  10. Yoshua Bengio

Who trusts Vivian Lai overall

  1. David J. Spiegelhalter
  2. Samuel Carton
  3. Han Liu
  4. Chenhao Tan
  5. Zana Buçinca
  6. Q. Liao
  7. Chacha Chen
  8. Anirudh Rathore
  9. Sarah Tan
  10. Gagan Bansal

Papers from Vivian Lai's perspective

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

Their papers