Steven Lu

Artificial Intelligence · 2023

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 Steven Lu trusts overall

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

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

Papers from Steven Lu's perspective

Ordered by how strongly the researchers Steven Lu 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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. Language Models are Unsupervised Multitask Learners
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers