Monica S. Lam

Artificial Intelligence · 1991–2020

A researcher in the Science corpus: 11 papers; trusts 145 researchers and is trusted by 61 researchers here, as inferred from the citation graph.

Subfields

Whom Monica S. Lam trusts overall

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

  1. Ilya Sutskever
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Sepp Hochreiter
  6. Oriol Vinyals
  7. Alex Krizhevsky
  8. Richard Socher
  9. Jimmy Ba
  10. Kaiming He

Who trusts Monica S. Lam overall

  1. Zhendong Su
  2. Gary Wassermann
  3. Ravi Mangal
  4. Martin Bravenboer
  5. Michael Pradel
  6. Chao Liu
  7. Yannis Smaragdakis
  8. Vijayaraghavan Murali
  9. Michael D. Ernst
  10. Mark Gabel

Papers from Monica S. Lam's perspective

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

Their papers