Lam Vo

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lam Vo trusts overall

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

  1. Kevin Kaichuang Yang
  2. Frances H. Arnold
  3. Tunca Dogan
  4. Zachary Wu
  5. Adam J. Riesselman
  6. Quoc V. Le
  7. Philip A. Romero
  8. Geoffrey E. Hinton
  9. Claire N. Bedbrook
  10. Hetunandan Kamisetty

Papers from Lam Vo's perspective

Ordered by how strongly the researchers Lam Vo 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. Dropout: a simple way to prevent neural networks from overfitting
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  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