Jacob Kahn

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 13 papers; trusts 631 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Kahn trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Alex Graves
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Kaiming He
  8. Ronan Collobert
  9. Yann LeCun
  10. Oriol Vinyals

Who trusts Jacob Kahn overall

  1. Alexei Baevski
  2. Wei-Ning Hsu
  3. Qiantong Xu
  4. Abdel-rahman Mohamed
  5. Yu Zhang
  6. Tatiana Likhomanenko
  7. Changhan Wang
  8. Evgeny Kharitonov
  9. Gabriel Synnaeve
  10. Ann Lee

Papers from Jacob Kahn's perspective

Ordered by how strongly the researchers Jacob Kahn 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers