James C. R. Whittington

Cognitive Neuroscience · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 54 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom James C. R. Whittington trusts overall

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

  1. Karl J. Friston
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Randall C. O’Reilly
  6. David E. Rumelhart
  7. James L. McClelland
  8. Peter S. Dayan
  9. Ronald J. Williams
  10. Radford M. Neal

Who trusts James C. R. Whittington overall

  1. David Watson
  2. Rafal Bogacz
  3. Grace W. Lindsay
  4. Andrew M. Saxe
  5. Ida Momennejad
  6. Arild Nøkland
  7. Dmitry Krotov
  8. Jeffrey C. Magee
  9. S. Bernardi
  10. Timothy P. Lillicrap

Papers from James C. R. Whittington's perspective

Ordered by how strongly the researchers James C. R. Whittington 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. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers