Michael Ahn

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Michael Ahn trusts overall

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

  1. Geoffrey E. Hinton
  2. Sergey Levine
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Kaiming He
  7. Ilya Sutskever
  8. Yann LeCun
  9. Richard S. Sutton
  10. E. Todorov

Who trusts Michael Ahn overall

  1. Murray Shanahan
  2. Ofir Nachum
  3. Kevin Black
  4. Ted Xiao
  5. Ilya Kostrikov
  6. Fei Xia
  7. Swaroop Mishra
  8. Karthik Valmeekam
  9. Guanzhi Wang
  10. Jason Wei

Papers from Michael Ahn's perspective

Ordered by how strongly the researchers Michael Ahn 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Et al

Their papers