Guillermo Luis Grinblat

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Guillermo Luis Grinblat trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Ian J. Goodfellow
  4. Yann LeCun
  5. Budiman Minasny
  6. Matthew D. Zeiler
  7. Yoshua Bengio
  8. Adam Coates
  9. Ilya Sutskever
  10. Nitish Srivastava

Who trusts Guillermo Luis Grinblat overall

  1. Andreas Kamilaris
  2. Muhammad Hammad Saleem
  3. Boukaye Boubacar Traore
  4. Francesc X. Prenafeta-Boldu
  5. Sue Han Lee
  6. Konstantinos G. Liakos
  7. Jiang Lu
  8. Johan Potgieter
  9. Bernard Kamsu-Foguem
  10. Chee Seng Chan

Papers from Guillermo Luis Grinblat's perspective

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

Their papers