Nathan Lambert

Artificial Intelligence · 2022–2024

A researcher in the Science corpus: 8 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nathan Lambert trusts overall

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

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

Who trusts Nathan Lambert overall

  1. Judy Hanwen Shen
  2. Hanze Dong

Papers from Nathan Lambert's perspective

Ordered by how strongly the researchers Nathan Lambert 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. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers