Jacob Gates Foster

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Gates Foster trusts overall

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

  1. Martin Rosvall
  2. Carl T. Bergstrom
  3. James A. Evans
  4. Kenton C. T. Lee
  5. D. Axelsson
  6. John P. A. Ioannidis
  7. Jieyu Zhao
  8. Mark Newman
  9. Lee Fleming
  10. Santo Fortunato

Who trusts Jacob Gates Foster overall

  1. Richard Klavans
  2. Kevin W. Boyack
  3. F. Kalu

Papers from Jacob Gates Foster's perspective

Ordered by how strongly the researchers Jacob Gates Foster trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet: A large-scale hierarchical image database
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  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. Information Theory: 1948-1998 - Guest Editorial
  10. Learning Multiple Layers of Features from Tiny Images

Their papers