Laura V. Galvis Carreño

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Laura V. Galvis Carreño trusts overall

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

  1. T. Griffiths
  2. David M. Blei
  3. Samuel Brody
  4. Yohan Jo
  5. Daniel Ramage
  6. Stefan Siersdorfer
  7. Mark Steyvers
  8. Andrew Y. Ng
  9. Noémie Elhadad
  10. Alice H. Oh

Who trusts Laura V. Galvis Carreño overall

  1. William J. Martin
  2. Walid Maalej
  3. Federica Sarro
  4. Jialiu Lin

Papers from Laura V. Galvis Carreño's perspective

Ordered by how strongly the researchers Laura V. Galvis Carreño trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Latent Dirichlet Allocation
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers