Kevin B. Korb

Artificial Intelligence · 2004–2017

A researcher in the Science corpus: 7 papers; trusts 28 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin B. Korb trusts overall

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

  1. Judea Pearl
  2. Chris S. Wallace
  3. Steffen L. Lauritzen
  4. Tom L. Burr
  5. David E. Heckerman
  6. David J. Spiegelhalter
  7. Joseph Y. Halpern
  8. Herbert A. Simon
  9. Thomas G. Dietterich
  10. Marek J Druzdzel

Who trusts Kevin B. Korb overall

  1. T. Griffiths
  2. Dominik Rothenhausler
  3. Nan Rosemary Ke
  4. Charles Kemp
  5. Bin Yu
  6. Daniel Eaton
  7. Olexa Bilaniuk
  8. Josh Tenenbaum

Papers from Kevin B. Korb's perspective

Ordered by how strongly the researchers Kevin B. Korb trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  2. ImageNet classification with deep convolutional neural networks
  3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers