Peter Földiák

Artificial Intelligence · 1990–2015

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 90 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Földiák trusts overall

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

  1. Geoffrey E. Hinton
  2. Richard S. Sutton
  3. William E. Vinje
  4. David E. Rumelhart
  5. H. Barlow
  6. Yann LeCun
  7. Andrew Barto
  8. Terrence J. Sejnowski
  9. Teuvo Kohonen
  10. David H. Hubel

Who trusts Peter Földiák overall

  1. Laurenz Wiskott
  2. E. T. Rolls
  3. Nitish Srivastava
  4. Michael Teichmann
  5. Karl Ridgeway
  6. Karl J. Friston
  7. Roland Memisevic
  8. J. Urgen Schmidhuber
  9. David B. Grimes
  10. X. Wang

Papers from Peter Földiák's perspective

Ordered by how strongly the researchers Peter Földiák 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. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers