Gregory Darnell

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gregory Darnell trusts overall

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

  1. Peter F. Schulam
  2. Matthew D. Zeiler
  3. Bernard Walter Silverman
  4. Rainer Dahlhaus
  5. Marzyeh Ghassemi
  6. Geoffrey E. Hinton
  7. Nicholas G. Polson
  8. Mauricio A Álvarez
  9. David E. Rumelhart
  10. Yee Whye Teh

Who trusts Gregory Darnell overall

  1. Peter F. Schulam
  2. Pablo Moreno-Muñoz

Papers from Gregory Darnell's perspective

Ordered by how strongly the researchers Gregory Darnell 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. Learning Multiple Layers of Features from Tiny Images
  6. Gradient-based learning applied to document recognition
  7. Learning representations by back-propagating errors
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Scikit-learn: Machine Learning in Python
  10. ImageNet: A large-scale hierarchical image database

Their papers