Mireia Díez

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Mireia Díez trusts overall

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

  1. Patrick Kenny
  2. Radford M. Neal
  3. Matthew J. Beal
  4. Joon Son Chung
  5. Arsha Nagrani
  6. Andreas Stolcke
  7. Niko Brummer
  8. Andrew Zisserman

Who trusts Mireia Díez overall

  1. Hervé Bredin
  2. Jörgen Valk
  3. Shota Horiguchi

Papers from Mireia Díez's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Pattern Recognition and Machine Learning
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. LIBLINEAR: A Library for Large Linear Classification
  10. Gradient-based learning applied to document recognition

Their papers