Jake M. Hofman

Artificial Intelligence · 2007–2021

A researcher in the Science corpus: 14 papers; trusts 62 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

Whom Jake M. Hofman trusts overall

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

  1. Yehuda Koren
  2. David M. Blei
  3. Ruslan Salakhutdinov
  4. Michael I. Jordan
  5. Donald B. Rubin
  6. Radford M. Neal
  7. Robert E. Schapire
  8. John F. Canny
  9. Prem Gopalan
  10. Geoffrey E. Hinton

Who trusts Jake M. Hofman overall

  1. Prem Gopalan
  2. David M. Blei
  3. Tiago P. Peixoto
  4. Steve Gregory
  5. Susan Athey
  6. Michele Coscia
  7. Anil Raj
  8. Christopher Aicher
  9. Tianbao Yang
  10. Emre Kıcıman

Papers from Jake M. Hofman's perspective

Ordered by how strongly the researchers Jake M. Hofman trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers