Noah Brown

Artificial Intelligence · 2022–2025

A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Noah Brown trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Sergey Levine
  7. Ilya Sutskever
  8. Yann LeCun
  9. Ross B. Girshick
  10. Chelsea Finn

Who trusts Noah Brown overall

  1. Moo Jin Kim
  2. Kevin Black
  3. Ted Xiao

Papers from Noah Brown's perspective

Ordered by how strongly the researchers Noah Brown 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers