Mónica G. Larese

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mónica G. Larese trusts overall

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

  1. Budiman Minasny
  2. Matthew D. Zeiler
  3. Geoffrey E. Hinton

Who trusts Mónica G. Larese overall

  1. Andreas Kamilaris

Papers from Mónica G. Larese's perspective

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

  1. Dropout: a simple way to prevent neural networks from overfitting
  2. ImageNet classification with deep convolutional neural networks
  3. Visualizing and Understanding Convolutional Networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Deep Learning
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers