David García

Computer Vision and Pattern Recognition · with Alben · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom David García trusts overall

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

  1. Kaiming He
  2. Christian Szegedy
  3. Alex Krizhevsky

Who trusts David García overall

  1. Boris Ginsburg
  2. Luke S. Zettlemoyer
  3. Bryan Catanzaro

Papers from David García's perspective

Ordered by how strongly the researchers David García 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. Long Short-Term Memory
  4. Going deeper with convolutions
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Rethinking the Inception Architecture for Computer Vision
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers