David Tellez

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Tellez trusts overall

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

  1. Diederik P. Kingma
  2. Andrew L. Maas
  3. Yann LeCun
  4. Sergey Ioffe
  5. Geoffrey E. Hinton
  6. Individualized Treat
  7. Yoshua Bengio
  8. Patrice Y. Simard
  9. Jimmy Ba
  10. Christian Szegedy

Who trusts David Tellez overall

  1. J. A. van der Laak
  2. Geert J. S. Litjens

Papers from David Tellez's perspective

Ordered by how strongly the researchers David Tellez 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. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers