David J. Freedman

Cognitive Neuroscience · 2001–2018

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom David J. Freedman trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Sepp Hochreiter
  5. Yoshua Bengio
  6. Ruslan Salakhutdinov
  7. Richard S. Sutton
  8. J. Urgen Schmidhuber
  9. Andrew Barto
  10. Jimmy Ba

Who trusts David J. Freedman overall

  1. John S. Duncan
  2. Thomas Serre
  3. Stanislas Dehaene
  4. Daniel L. K. Yamins
  5. Marc H. Bornstein
  6. Maximilian Riesenhuber
  7. Moshe Bar
  8. Robert Kurzban
  9. Jefferson E. Roy
  10. Mark D'Esposito

Papers from David J. Freedman's perspective

Ordered by how strongly the researchers David J. Freedman 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. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers