David C. Knill

Cognitive Neuroscience · 2003–2012

A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom David C. Knill trusts overall

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

  1. Geoffrey E. Hinton
  2. E. Todorov
  3. J. Saunders
  4. D. M. Wolpert
  5. Michael I. Jordan
  6. Yair Weiss
  7. Marc O. Ernst
  8. Radford M. Neal
  9. József Fiser
  10. R. Miall

Who trusts David C. Knill overall

  1. Karl J. Friston
  2. Paul Cisek
  3. Paul M. Bays
  4. Alan A. Stocker
  5. Elizabeth Pellicano
  6. Tomer D. Ullman
  7. Elisa Magosso
  8. Yoshiyuki Sato
  9. Samuel J. Gershman
  10. David J. Heeger

Papers from David C. Knill's perspective

Ordered by how strongly the researchers David C. Knill 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers