Diego Ardila

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Diego Ardila trusts overall

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

  1. David H. Hubel

Who trusts Diego Ardila overall

  1. Nikolaus Kriegeskorte
  2. Matthias Bethge

Papers from Diego Ardila's perspective

Ordered by how strongly the researchers Diego Ardila trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Learning representations by back-propagating errors
  4. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  5. Hierarchical models of object recognition in cortex
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Robust Object Recognition with Cortex-Like Mechanisms
  8. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers